- published: 23 Jan 2014
- views: 4112
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A video on how to take scientific data and process it in Microsoft Excel.
- published: 27 Nov 2014
- views: 955
Tutorial on data processing including information on CASS Certification, NCOA, and deduping
- published: 18 Apr 2009
- views: 6388
Unbounded, unordered, global-scale datasets are increasingly common in day-to-day business (e.g. Web logs, mobile usage statistics, and sensor networks). At the same time, consumers of these datasets have evolved sophisticated requirements, such as event-time ordering and windowing by features of the data themselves. On top of that -- consumers want answers *now*. This talk will cover how Google has evolved its earlier work on batch and streaming systems (including MapReduce, FlumeJava, and Millwheel) into Dataflow, a new programming model that allows users to clearly trade off correctness, latency, and cost. An overview of this model will be provided, including a demo of the fully managed service it enables, and a discussion on some of the many use cases that got Google here.
Presenter
Frances Perry
- published: 15 Sep 2015
- views: 8412
Ahmed Kachkach
This talk gives a quick overview of Python's capabilities as a data-processing and machine learning tool through practical examples: gathering data from the web or a local file, validating/modifying it and finally analyzing it to build models for classification and prediction tasks
- published: 25 May 2015
- views: 1540
JHawk Group specializes in Electronic Data Processing Solutions, Project Management and Client Support Services.
- published: 15 Jun 2012
- views: 1188
Presenters: Ben Zaitlen, Clayton Davis
Description
This tutorial is a crash course in data processing and analysis with Python. We will explore a wide variety of domains and data types (text, time-series, log files, etc.) and demonstrate how Python and a number of accompanying modules can be used for effective scientific expression. Starting with NumPy and Pandas, we will begin with loading, managing, cleaning and exploring real-world data right off the instrument. Next, we will return to NumPy and continue on with SciKit-Learn, focusing on a common dimensionality-reduction technique: PCA.
In the second half of the course, we will introduce Python for Big Data Analysis and introduce two common distributed solutions: IPython Parallel and MapReduce. We will develop several routines commonly used for simultaneous calculations and analysis. Using Disco -- a Python MapReduce framework -- we will introduce the concept of MapReduce and build up several scripts which can process a variety of public data sets. Additionally, users will also learn how to launch and manage their own clusters leveraging AWS and StarCluster.
Outline
*Setup/Install Check (15) *NumPy/Pandas (30) *Series *Dataframe *Missing Data *Resampling *Plotting *PCA (15) *NumPy *Sci-Kit Learn *Parallel-Coordinates *MapReduce (30) *Intro *Disco *Hadoop *Count Words *EC2 and Starcluster (15) *IPython Parallel (30) *Bitly Links Example (30) *Wiki Log Analysis (30)
45 minutes extra for questions, pitfalls, and break
Each student will have access to a 3 node EC2 cluster where they will modify and execute examples. Each cluster will have Anaconda, IPython Notebook, Disco, and Hadoop preconfigured
Required Packages
All examples in this tutorial will use real data. Attendees are expected to have some familiarity with statistical methods and familiarity with common NumPy routines. Users should come with the latest version of Anaconda pre-installed on their laptop and a working SSH client.
Documentation
Preliminary work can be found at: https://github.com/ContinuumIO/tutorials
- published: 27 Jun 2013
- views: 9395
The dramatic increase in the commercial application of Unmanned Aerial Vehicles (UAV) has resulted in the need for efficient tools to manage and process the vast quantity of data collected by UAV operators. In the latest Global Mapper video presentation, we explore the use of the software in this burgeoning business sector. Global Mapper’s data format support in unequaled among comparable GIS applications allowing it to be uniquely interoperable across multiple platforms. Any remotely collected data can be quickly processed, analyzed, and delivered in virtually any format. In this presentation we follow the workflow from data importing, to analysis, to reprojecting, and ultimately to exporting. We also demonstrate the innovative fly-through recording functionality that provides a dynamic and realistic rendering of the UAV flight path.
- published: 17 Aug 2015
- views: 1312
Computer data processing is any process that a computer program does to enter data and summarise, analyse or otherwise convert data into usable information. The process may be automated and run on a computer. It involves recording, analysing, sorting, summarising, calculating, disseminating and storing data. Because data are most useful when well-presented and actually informative, data-processing systems are often referred to as information systems. Nevertheless, the terms are roughly synonymous, performing similar conversions; data-processing systems typically manipulate raw data into information, and likewise information systems typically take raw data as input to produce information as output.
Data processing may or may not be distinguished from data conversion, when the process is merely to convert data to another format, and does not involve any data manipulation.
Data Analysis is the domain from which the data are harvested is a science or an engineering field. Data processing and information systems are considered terms that are too broad and the more specialized term data analysis is typically used. This is a focus on the highly-specialized and highly-accurate algorithmic derivations and statistical calculations that are less often observed in the typical general business environment. In these contexts data analysis packages like DAP, gretl or PSPP are often used. This divergence of culture is exhibited in the typical numerical representations used in data processing versus numerical; data processing's measurements are typically represented by integers or by fixed-point or binary-coded decimal representations of numbers whereas the majority of data analysis's measurements are often represented by floating-point representation of rational numbers.
This page contains text from Wikipedia, the Free Encyclopedia -
http://en.wikipedia.org/wiki/Computer_data_processing
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
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34:47DATA PROCESSING SYSTEMS
DATA PROCESSING SYSTEMSDATA PROCESSING SYSTEMS
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13:43Processing Data in Excel
Processing Data in ExcelProcessing Data in Excel
A video on how to take scientific data and process it in Microsoft Excel. -
3:59Data Processing
Data ProcessingData Processing
Tutorial on data processing including information on CASS Certification, NCOA, and deduping -
49:36Dataflow: A Unified Model for Batch and Streaming Data Processing
Dataflow: A Unified Model for Batch and Streaming Data ProcessingDataflow: A Unified Model for Batch and Streaming Data Processing
Unbounded, unordered, global-scale datasets are increasingly common in day-to-day business (e.g. Web logs, mobile usage statistics, and sensor networks). At the same time, consumers of these datasets have evolved sophisticated requirements, such as event-time ordering and windowing by features of the data themselves. On top of that -- consumers want answers *now*. This talk will cover how Google has evolved its earlier work on batch and streaming systems (including MapReduce, FlumeJava, and Millwheel) into Dataflow, a new programming model that allows users to clearly trade off correctness, latency, and cost. An overview of this model will be provided, including a demo of the fully managed service it enables, and a discussion on some of the many use cases that got Google here. Presenter Frances Perry -
3:48Video 2 What is Data Processing
Video 2 What is Data Processing -
73:08Lecture - Data Processing
Lecture - Data ProcessingLecture - Data Processing
-
31:30Data Processing & Machine Learning with Python - PyCon SE 2015
Data Processing & Machine Learning with Python - PyCon SE 2015Data Processing & Machine Learning with Python - PyCon SE 2015
Ahmed Kachkach This talk gives a quick overview of Python's capabilities as a data-processing and machine learning tool through practical examples: gathering data from the web or a local file, validating/modifying it and finally analyzing it to build models for classification and prediction tasks -
2:55JHawk Group: Electronic Data Processing Demo
JHawk Group: Electronic Data Processing DemoJHawk Group: Electronic Data Processing Demo
JHawk Group specializes in Electronic Data Processing Solutions, Project Management and Client Support Services. -
1:52Computer and Data Processing Job Description
Computer and Data Processing Job Description -
81:53Large Data in MATLAB A Seismic Data Processing Case Study
Large Data in MATLAB A Seismic Data Processing Case StudyLarge Data in MATLAB A Seismic Data Processing Case Study
-
100:22Data Processing with Python, SciPy2013 Tutorial, Part 1 of 3
Data Processing with Python, SciPy2013 Tutorial, Part 1 of 3Data Processing with Python, SciPy2013 Tutorial, Part 1 of 3
Presenters: Ben Zaitlen, Clayton Davis Description This tutorial is a crash course in data processing and analysis with Python. We will explore a wide variety of domains and data types (text, time-series, log files, etc.) and demonstrate how Python and a number of accompanying modules can be used for effective scientific expression. Starting with NumPy and Pandas, we will begin with loading, managing, cleaning and exploring real-world data right off the instrument. Next, we will return to NumPy and continue on with SciKit-Learn, focusing on a common dimensionality-reduction technique: PCA. In the second half of the course, we will introduce Python for Big Data Analysis and introduce two common distributed solutions: IPython Parallel and MapReduce. We will develop several routines commonly used for simultaneous calculations and analysis. Using Disco -- a Python MapReduce framework -- we will introduce the concept of MapReduce and build up several scripts which can process a variety of public data sets. Additionally, users will also learn how to launch and manage their own clusters leveraging AWS and StarCluster. Outline *Setup/Install Check (15) *NumPy/Pandas (30) *Series *Dataframe *Missing Data *Resampling *Plotting *PCA (15) *NumPy *Sci-Kit Learn *Parallel-Coordinates *MapReduce (30) *Intro *Disco *Hadoop *Count Words *EC2 and Starcluster (15) *IPython Parallel (30) *Bitly Links Example (30) *Wiki Log Analysis (30) 45 minutes extra for questions, pitfalls, and break Each student will have access to a 3 node EC2 cluster where they will modify and execute examples. Each cluster will have Anaconda, IPython Notebook, Disco, and Hadoop preconfigured Required Packages All examples in this tutorial will use real data. Attendees are expected to have some familiarity with statistical methods and familiarity with common NumPy routines. Users should come with the latest version of Anaconda pre-installed on their laptop and a working SSH client. Documentation Preliminary work can be found at: https://github.com/ContinuumIO/tutorials -
77:15UAV Data Processing in Global Mapper
UAV Data Processing in Global MapperUAV Data Processing in Global Mapper
The dramatic increase in the commercial application of Unmanned Aerial Vehicles (UAV) has resulted in the need for efficient tools to manage and process the vast quantity of data collected by UAV operators. In the latest Global Mapper video presentation, we explore the use of the software in this burgeoning business sector. Global Mapper’s data format support in unequaled among comparable GIS applications allowing it to be uniquely interoperable across multiple platforms. Any remotely collected data can be quickly processed, analyzed, and delivered in virtually any format. In this presentation we follow the workflow from data importing, to analysis, to reprojecting, and ultimately to exporting. We also demonstrate the innovative fly-through recording functionality that provides a dynamic and realistic rendering of the UAV flight path. -
48:58Geophysics Seismic Processing Basic
Geophysics Seismic Processing Basic -
12:27SAP D&T; Academy - Data Services - How to use Text Data Processing
SAP D&T; Academy - Data Services - How to use Text Data ProcessingSAP D&T; Academy - Data Services - How to use Text Data Processing
This video will walk you step-by-step through the process to use Text Data Processing, so that you can perform this process on your system. This video is part of the SAP Database & Technology Academy.
- Computer
- Computer program
- Crosstab
- DAP (software)
- Data
- Data aggregation
- Data analysis
- Data conversion
- Data manipulation
- Data summarization
- Data validation
- Electrical
- File format
- Floating-point
- Gretl
- Information
- Information system
- Integer
- Light
- Nervous system
- Observation
- Pressure
- Process (computing)
- PSPP
- Sense
- Somatosensory system
- Sound
- Statistical analysis
- Visual perception
- Wikipedia Merging
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DATA PROCESSING SYSTEMS
-
Processing Data in Excel
A video on how to take scientific data and process it in Microsoft Excel. -
Data Processing
Tutorial on data processing including information on CASS Certification, NCOA, and deduping -
Dataflow: A Unified Model for Batch and Streaming Data Processing
Unbounded, unordered, global-scale datasets are increasingly common in day-to-day business (e.g. Web logs, mobile usage statistics, and sensor networks). At the same time, consumers of these datasets have evolved sophisticated requirements, such as event-time ordering and windowing by features of the data themselves. On top of that -- consumers want answers *now*. This talk will cover how Google has evolved its earlier work on batch and streaming systems (including MapReduce, FlumeJava, and Millwheel) into Dataflow, a new programming model that allows users to clearly trade off correctness, latency, and cost. An overview of this model will be provided, including a demo of the fully managed service it enables, and a discussion on some of the many use cases that got Google here. Presenter F... -
-
Lecture - Data Processing
-
Data Processing & Machine Learning with Python - PyCon SE 2015
Ahmed Kachkach This talk gives a quick overview of Python's capabilities as a data-processing and machine learning tool through practical examples: gathering data from the web or a local file, validating/modifying it and finally analyzing it to build models for classification and prediction tasks -
JHawk Group: Electronic Data Processing Demo
JHawk Group specializes in Electronic Data Processing Solutions, Project Management and Client Support Services. -
-
Large Data in MATLAB A Seismic Data Processing Case Study
-
Data Processing with Python, SciPy2013 Tutorial, Part 1 of 3
Presenters: Ben Zaitlen, Clayton Davis Description This tutorial is a crash course in data processing and analysis with Python. We will explore a wide variety of domains and data types (text, time-series, log files, etc.) and demonstrate how Python and a number of accompanying modules can be used for effective scientific expression. Starting with NumPy and Pandas, we will begin with loading, managing, cleaning and exploring real-world data right off the instrument. Next, we will return to NumPy and continue on with SciKit-Learn, focusing on a common dimensionality-reduction technique: PCA. In the second half of the course, we will introduce Python for Big Data Analysis and introduce two common distributed solutions: IPython Parallel and MapReduce. We will develop several routines common... -
UAV Data Processing in Global Mapper
The dramatic increase in the commercial application of Unmanned Aerial Vehicles (UAV) has resulted in the need for efficient tools to manage and process the vast quantity of data collected by UAV operators. In the latest Global Mapper video presentation, we explore the use of the software in this burgeoning business sector. Global Mapper’s data format support in unequaled among comparable GIS applications allowing it to be uniquely interoperable across multiple platforms. Any remotely collected data can be quickly processed, analyzed, and delivered in virtually any format. In this presentation we follow the workflow from data importing, to analysis, to reprojecting, and ultimately to exporting. We also demonstrate the innovative fly-through recording functionality that provides a dynamic a... -
-
SAP D&T; Academy - Data Services - How to use Text Data Processing
This video will walk you step-by-step through the process to use Text Data Processing, so that you can perform this process on your system. This video is part of the SAP Database & Technology Academy. -
Structured data processing with Spark SQL
Structured data processing with Spark SQL. Presented at Bangalore Apache Spark Meetup by Madhukara Phatak on 30/05/2015. http://www.meetup.com/Bangalore-Apache-Spark-Meetup/events/221747719/ For code, refer https://github.com/phatak-dev/structured_data_processing_spark_sql For slides of this talk, refer http://www.slideshare.net/datamantra/introduction-to-structured-data-in-spark Connect with Madhukara Phatak at http://www.datamantra.io http://www.madhukaraphatak.com -
Big Data Processing with Spark | Spark Tutorial
Watch Sample Class recording: http://www.edureka.co/apache-spark-scala-training?utm_source=youtube&utm;_medium=webinar&utm;_campaign=spark-webinar-12-6-15 Apache Spark, developed by Apache Software Foundation, is an open-source big data processing and advanced analytics engine. It allows developers to develop applications in Scala, Python and Java. This video provides detailed knowledge about various features of this high-speed cluster-computing framework and also Scala, the language in which Spark has been written. Topics covered in the Webinar: 1. What is Big Data? 2. What is Spark? 3. Why Spark? 4. Spark Ecosystem 5. A Note about Scala 6. Why Scala? 7. Hello Spark!! Related Blogs: http://www.edureka.co/blog/apache-spark-lighting-up-the-big-data-world1/?utm_source=youtube&utm;_medium=... -
DATA & ANALYTICS - Data Processing & OSS: The NEXT Generation
Recorded on Mar 23 2016 at GCP NEXT 2016 in San Francisco. Open-source data tools allow you to process data in volumes not possible a few years ago, but they can be hard to setup, maintain, and run economically. With years of practical and research experience, Google Cloud Platform is engineering new ways to use existing frameworks, such as Apache Spark and Hadoop, and designing the next generation of data processing tools in Apache Beam (incubating). Speakers: Frances Perry & James Malone, Google -
"Making Big Data Processing Simple with Spark," Matei Zaharia
As data volumes grow, we need programming tools for parallel applications that are as easy to use and versatile as those for single machines. The Spark project started at UC Berkeley to meet these goals. Spark is based on two main ideas. First, it has a language-integrated API in Python, Java, Scala and R, based on functional programming, that makes it easy to build applications out of functions to run on a cluster. Second, it offers a general engine that can support streaming, batch, and interactive computations, as well as advanced analytics such as machine learning, and lets users combine them in one program. Since its release in 2010, Spark has become a highly active open source project, with over 900 contributors and a broad set of built-in libraries. This talk will cover the main ide... -
Overview of GPR Data Processing - Robert Freeland, University of Tennessee
Overview of the use of ground penetrating radar (GPR) methods in soil surveying by Jim Doolittle (USDA-NRCS), This talk is presented as part of the Agricultural Geophysics Webinar series (ag-geophysics.org). Join the live discussion on Sept.30, 2014 at 3:00PM (EST). Register for the discussion in advance at ag-geophysics.org as space is limited! -
Data Processing Cycle
Data Processing cycle -
Star Trek First Contact-Data processing speed
The borg attempt to take over the enterprise, DATA quickly encrypts the enterprise computer, preventing the borg from taking over the enterprise -
Processing LHC Data
The LHC produces 600 million collisions every second in each detector, which generates approximately one petabyte of data per second. None of today's computing systems are capable of recording such rates. Hence sophisticated selection systems are used for a first fast electronic pre-selection, only passing one out of 10 000 events. Tens of thousands of processor cores then select 1% of the remaining events. Even after such a drastic data reduction, the four big experiments, ALICE, ATLAS, CMS and LHCb, together need to store over 25 petabytes per year. The LHC data are aggregated in the CERN Data Centre, where initial data reconstruction is performed, and a copy is archived to long-term tape storage. Another copy is sent to several large scale data centres around the world. Subsequently hun... -
Apache Spark for Big Data Processing
Recorded at SpringOne2GX 2015 Presenters: Ludwine Probst & Ilayaperumal Gopinathan Big Data Track Slides: http://www.slideshare.net/SpringCentral/apache-spark-for-big-data-processing Today, we live in the world of Big Data. Hadoop and MapReduce are highly dominant in the domain of large scale data processing. However, the MapReduce model shows its limits for various types of treatment, especially for highly iterative algorithms frequently encountered in the field of Machine Learning. Spark is an in-memory data processing framework that, unlike Hadoop, provides interactive and real-time analysis on large datasets. Furthermore, Spark has a more flexible programming model and gives better performance than Hadoop. In this talk, we aim at giving a portrait of Spark and at browsing its ecosyst...
DATA PROCESSING SYSTEMS
- Order: Reorder
- Duration: 34:47
- Updated: 23 Jan 2014
- views: 4112
- published: 23 Jan 2014
- views: 4112
Processing Data in Excel
- Order: Reorder
- Duration: 13:43
- Updated: 27 Nov 2014
- views: 955
A video on how to take scientific data and process it in Microsoft Excel.
A video on how to take scientific data and process it in Microsoft Excel.
wn.com/Processing Data In Excel
A video on how to take scientific data and process it in Microsoft Excel.
- published: 27 Nov 2014
- views: 955
Data Processing
- Order: Reorder
- Duration: 3:59
- Updated: 18 Apr 2009
- views: 6388
Tutorial on data processing including information on CASS Certification, NCOA, and deduping
- published: 18 Apr 2009
- views: 6388
Dataflow: A Unified Model for Batch and Streaming Data Processing
- Order: Reorder
- Duration: 49:36
- Updated: 15 Sep 2015
- views: 8412
Unbounded, unordered, global-scale datasets are increasingly common in day-to-day business (e.g. Web logs, mobile usage statistics, and sensor networks). At the...
Unbounded, unordered, global-scale datasets are increasingly common in day-to-day business (e.g. Web logs, mobile usage statistics, and sensor networks). At the same time, consumers of these datasets have evolved sophisticated requirements, such as event-time ordering and windowing by features of the data themselves. On top of that -- consumers want answers *now*. This talk will cover how Google has evolved its earlier work on batch and streaming systems (including MapReduce, FlumeJava, and Millwheel) into Dataflow, a new programming model that allows users to clearly trade off correctness, latency, and cost. An overview of this model will be provided, including a demo of the fully managed service it enables, and a discussion on some of the many use cases that got Google here.
Presenter
Frances Perry
wn.com/Dataflow A Unified Model For Batch And Streaming Data Processing
Unbounded, unordered, global-scale datasets are increasingly common in day-to-day business (e.g. Web logs, mobile usage statistics, and sensor networks). At the same time, consumers of these datasets have evolved sophisticated requirements, such as event-time ordering and windowing by features of the data themselves. On top of that -- consumers want answers *now*. This talk will cover how Google has evolved its earlier work on batch and streaming systems (including MapReduce, FlumeJava, and Millwheel) into Dataflow, a new programming model that allows users to clearly trade off correctness, latency, and cost. An overview of this model will be provided, including a demo of the fully managed service it enables, and a discussion on some of the many use cases that got Google here.
Presenter
Frances Perry
- published: 15 Sep 2015
- views: 8412
Video 2 What is Data Processing
- Order: Reorder
- Duration: 3:48
- Updated: 03 Nov 2014
- views: 492
Lecture - Data Processing
- Order: Reorder
- Duration: 73:08
- Updated: 08 Feb 2013
- views: 3367
- published: 08 Feb 2013
- views: 3367
Data Processing & Machine Learning with Python - PyCon SE 2015
- Order: Reorder
- Duration: 31:30
- Updated: 25 May 2015
- views: 1540
Ahmed Kachkach
This talk gives a quick overview of Python's capabilities as a data-processing and machine learning tool through practical examples: gathering d...
Ahmed Kachkach
This talk gives a quick overview of Python's capabilities as a data-processing and machine learning tool through practical examples: gathering data from the web or a local file, validating/modifying it and finally analyzing it to build models for classification and prediction tasks
wn.com/Data Processing Machine Learning With Python Pycon Se 2015
Ahmed Kachkach
This talk gives a quick overview of Python's capabilities as a data-processing and machine learning tool through practical examples: gathering data from the web or a local file, validating/modifying it and finally analyzing it to build models for classification and prediction tasks
- published: 25 May 2015
- views: 1540
JHawk Group: Electronic Data Processing Demo
- Order: Reorder
- Duration: 2:55
- Updated: 15 Jun 2012
- views: 1188
JHawk Group specializes in Electronic Data Processing Solutions, Project Management and Client Support Services.
JHawk Group specializes in Electronic Data Processing Solutions, Project Management and Client Support Services.
wn.com/Jhawk Group Electronic Data Processing Demo
JHawk Group specializes in Electronic Data Processing Solutions, Project Management and Client Support Services.
- published: 15 Jun 2012
- views: 1188
Computer and Data Processing Job Description
- Order: Reorder
- Duration: 1:52
- Updated: 27 Mar 2007
- views: 2753
Large Data in MATLAB A Seismic Data Processing Case Study
- Order: Reorder
- Duration: 81:53
- Updated: 14 Jun 2015
- views: 1311
- published: 14 Jun 2015
- views: 1311
Data Processing with Python, SciPy2013 Tutorial, Part 1 of 3
- Order: Reorder
- Duration: 100:22
- Updated: 27 Jun 2013
- views: 9395
Presenters: Ben Zaitlen, Clayton Davis
Description
This tutorial is a crash course in data processing and analysis with Python. We will explore a wide variety...
Presenters: Ben Zaitlen, Clayton Davis
Description
This tutorial is a crash course in data processing and analysis with Python. We will explore a wide variety of domains and data types (text, time-series, log files, etc.) and demonstrate how Python and a number of accompanying modules can be used for effective scientific expression. Starting with NumPy and Pandas, we will begin with loading, managing, cleaning and exploring real-world data right off the instrument. Next, we will return to NumPy and continue on with SciKit-Learn, focusing on a common dimensionality-reduction technique: PCA.
In the second half of the course, we will introduce Python for Big Data Analysis and introduce two common distributed solutions: IPython Parallel and MapReduce. We will develop several routines commonly used for simultaneous calculations and analysis. Using Disco -- a Python MapReduce framework -- we will introduce the concept of MapReduce and build up several scripts which can process a variety of public data sets. Additionally, users will also learn how to launch and manage their own clusters leveraging AWS and StarCluster.
Outline
*Setup/Install Check (15) *NumPy/Pandas (30) *Series *Dataframe *Missing Data *Resampling *Plotting *PCA (15) *NumPy *Sci-Kit Learn *Parallel-Coordinates *MapReduce (30) *Intro *Disco *Hadoop *Count Words *EC2 and Starcluster (15) *IPython Parallel (30) *Bitly Links Example (30) *Wiki Log Analysis (30)
45 minutes extra for questions, pitfalls, and break
Each student will have access to a 3 node EC2 cluster where they will modify and execute examples. Each cluster will have Anaconda, IPython Notebook, Disco, and Hadoop preconfigured
Required Packages
All examples in this tutorial will use real data. Attendees are expected to have some familiarity with statistical methods and familiarity with common NumPy routines. Users should come with the latest version of Anaconda pre-installed on their laptop and a working SSH client.
Documentation
Preliminary work can be found at: https://github.com/ContinuumIO/tutorials
wn.com/Data Processing With Python, Scipy2013 Tutorial, Part 1 Of 3
Presenters: Ben Zaitlen, Clayton Davis
Description
This tutorial is a crash course in data processing and analysis with Python. We will explore a wide variety of domains and data types (text, time-series, log files, etc.) and demonstrate how Python and a number of accompanying modules can be used for effective scientific expression. Starting with NumPy and Pandas, we will begin with loading, managing, cleaning and exploring real-world data right off the instrument. Next, we will return to NumPy and continue on with SciKit-Learn, focusing on a common dimensionality-reduction technique: PCA.
In the second half of the course, we will introduce Python for Big Data Analysis and introduce two common distributed solutions: IPython Parallel and MapReduce. We will develop several routines commonly used for simultaneous calculations and analysis. Using Disco -- a Python MapReduce framework -- we will introduce the concept of MapReduce and build up several scripts which can process a variety of public data sets. Additionally, users will also learn how to launch and manage their own clusters leveraging AWS and StarCluster.
Outline
*Setup/Install Check (15) *NumPy/Pandas (30) *Series *Dataframe *Missing Data *Resampling *Plotting *PCA (15) *NumPy *Sci-Kit Learn *Parallel-Coordinates *MapReduce (30) *Intro *Disco *Hadoop *Count Words *EC2 and Starcluster (15) *IPython Parallel (30) *Bitly Links Example (30) *Wiki Log Analysis (30)
45 minutes extra for questions, pitfalls, and break
Each student will have access to a 3 node EC2 cluster where they will modify and execute examples. Each cluster will have Anaconda, IPython Notebook, Disco, and Hadoop preconfigured
Required Packages
All examples in this tutorial will use real data. Attendees are expected to have some familiarity with statistical methods and familiarity with common NumPy routines. Users should come with the latest version of Anaconda pre-installed on their laptop and a working SSH client.
Documentation
Preliminary work can be found at: https://github.com/ContinuumIO/tutorials
- published: 27 Jun 2013
- views: 9395
UAV Data Processing in Global Mapper
- Order: Reorder
- Duration: 77:15
- Updated: 17 Aug 2015
- views: 1312
The dramatic increase in the commercial application of Unmanned Aerial Vehicles (UAV) has resulted in the need for efficient tools to manage and process the vas...
The dramatic increase in the commercial application of Unmanned Aerial Vehicles (UAV) has resulted in the need for efficient tools to manage and process the vast quantity of data collected by UAV operators. In the latest Global Mapper video presentation, we explore the use of the software in this burgeoning business sector. Global Mapper’s data format support in unequaled among comparable GIS applications allowing it to be uniquely interoperable across multiple platforms. Any remotely collected data can be quickly processed, analyzed, and delivered in virtually any format. In this presentation we follow the workflow from data importing, to analysis, to reprojecting, and ultimately to exporting. We also demonstrate the innovative fly-through recording functionality that provides a dynamic and realistic rendering of the UAV flight path.
wn.com/Uav Data Processing In Global Mapper
The dramatic increase in the commercial application of Unmanned Aerial Vehicles (UAV) has resulted in the need for efficient tools to manage and process the vast quantity of data collected by UAV operators. In the latest Global Mapper video presentation, we explore the use of the software in this burgeoning business sector. Global Mapper’s data format support in unequaled among comparable GIS applications allowing it to be uniquely interoperable across multiple platforms. Any remotely collected data can be quickly processed, analyzed, and delivered in virtually any format. In this presentation we follow the workflow from data importing, to analysis, to reprojecting, and ultimately to exporting. We also demonstrate the innovative fly-through recording functionality that provides a dynamic and realistic rendering of the UAV flight path.
- published: 17 Aug 2015
- views: 1312
Geophysics Seismic Processing Basic
- Order: Reorder
- Duration: 48:58
- Updated: 22 May 2015
- views: 8980
Geophysics Seismic Processing Basic Theory
/ seismic acquisition and data processing using seismic software promax for advanced geosciences in seismic exp...
Geophysics Seismic Processing Basic Theory
/ seismic acquisition and data processing using seismic software promax for advanced geosciences in seismic exploration by oil and gas company geophysical services geophysical surveys company /
wn.com/Geophysics Seismic Processing Basic
SAP D&T; Academy - Data Services - How to use Text Data Processing
- Order: Reorder
- Duration: 12:27
- Updated: 10 Oct 2012
- views: 3467
This video will walk you step-by-step through the process to use Text Data Processing, so that you can perform this process on your system. This video is part ...
This video will walk you step-by-step through the process to use Text Data Processing, so that you can perform this process on your system. This video is part of the SAP Database & Technology Academy.
wn.com/Sap D T Academy Data Services How To Use Text Data Processing
This video will walk you step-by-step through the process to use Text Data Processing, so that you can perform this process on your system. This video is part of the SAP Database & Technology Academy.
- published: 10 Oct 2012
- views: 3467
Structured data processing with Spark SQL
- Order: Reorder
- Duration: 100:43
- Updated: 04 Jun 2015
- views: 3982
Structured data processing with Spark SQL.
Presented at Bangalore Apache Spark Meetup by Madhukara Phatak on 30/05/2015.
http://www.meetup.com/Bangalore-Apache...
Structured data processing with Spark SQL.
Presented at Bangalore Apache Spark Meetup by Madhukara Phatak on 30/05/2015.
http://www.meetup.com/Bangalore-Apache-Spark-Meetup/events/221747719/
For code, refer
https://github.com/phatak-dev/structured_data_processing_spark_sql
For slides of this talk, refer
http://www.slideshare.net/datamantra/introduction-to-structured-data-in-spark
Connect with Madhukara Phatak at
http://www.datamantra.io
http://www.madhukaraphatak.com
wn.com/Structured Data Processing With Spark Sql
Structured data processing with Spark SQL.
Presented at Bangalore Apache Spark Meetup by Madhukara Phatak on 30/05/2015.
http://www.meetup.com/Bangalore-Apache-Spark-Meetup/events/221747719/
For code, refer
https://github.com/phatak-dev/structured_data_processing_spark_sql
For slides of this talk, refer
http://www.slideshare.net/datamantra/introduction-to-structured-data-in-spark
Connect with Madhukara Phatak at
http://www.datamantra.io
http://www.madhukaraphatak.com
- published: 04 Jun 2015
- views: 3982
Big Data Processing with Spark | Spark Tutorial
- Order: Reorder
- Duration: 67:51
- Updated: 15 Jun 2015
- views: 1698
Watch Sample Class recording:
http://www.edureka.co/apache-spark-scala-training?utm_source=youtube&utm;_medium=webinar&utm;_campaign=spark-webinar-12-6-15
Apach...
Watch Sample Class recording:
http://www.edureka.co/apache-spark-scala-training?utm_source=youtube&utm;_medium=webinar&utm;_campaign=spark-webinar-12-6-15
Apache Spark, developed by Apache Software Foundation, is an open-source big data processing and advanced analytics engine. It allows developers to develop applications in Scala, Python and Java. This video provides detailed knowledge about various features of this high-speed cluster-computing framework and also Scala, the language in which Spark has been written.
Topics covered in the Webinar:
1. What is Big Data?
2. What is Spark?
3. Why Spark?
4. Spark Ecosystem
5. A Note about Scala
6. Why Scala?
7. Hello Spark!!
Related Blogs:
http://www.edureka.co/blog/apache-spark-lighting-up-the-big-data-world1/?utm_source=youtube&utm;_medium=referral&utm;_campaign=spark-webinar-12-6-15
http://www.edureka.co/blog/what_is_scala/?utm_source=youtube&utm;_medium=referral&utm;_campaign=spark-webinar-12-6-15
http://www.edureka.co/blog/apache-spark-redefining-big-data-processing/?utm_source=youtube&utm;_medium=referral&utm;_campaign=spark-webinar-12-6-15
For more information, please write back to us at sales@edureka.co
Call us at US : 1800 275 9730 (toll free) or India : +91-8880862004
wn.com/Big Data Processing With Spark | Spark Tutorial
Watch Sample Class recording:
http://www.edureka.co/apache-spark-scala-training?utm_source=youtube&utm;_medium=webinar&utm;_campaign=spark-webinar-12-6-15
Apache Spark, developed by Apache Software Foundation, is an open-source big data processing and advanced analytics engine. It allows developers to develop applications in Scala, Python and Java. This video provides detailed knowledge about various features of this high-speed cluster-computing framework and also Scala, the language in which Spark has been written.
Topics covered in the Webinar:
1. What is Big Data?
2. What is Spark?
3. Why Spark?
4. Spark Ecosystem
5. A Note about Scala
6. Why Scala?
7. Hello Spark!!
Related Blogs:
http://www.edureka.co/blog/apache-spark-lighting-up-the-big-data-world1/?utm_source=youtube&utm;_medium=referral&utm;_campaign=spark-webinar-12-6-15
http://www.edureka.co/blog/what_is_scala/?utm_source=youtube&utm;_medium=referral&utm;_campaign=spark-webinar-12-6-15
http://www.edureka.co/blog/apache-spark-redefining-big-data-processing/?utm_source=youtube&utm;_medium=referral&utm;_campaign=spark-webinar-12-6-15
For more information, please write back to us at sales@edureka.co
Call us at US : 1800 275 9730 (toll free) or India : +91-8880862004
- published: 15 Jun 2015
- views: 1698
DATA & ANALYTICS - Data Processing & OSS: The NEXT Generation
- Order: Reorder
- Duration: 39:37
- Updated: 29 Mar 2016
- views: 13
Recorded on Mar 23 2016 at GCP NEXT 2016 in San Francisco.
Open-source data tools allow you to process data in volumes not possible a few years ago, but they c...
Recorded on Mar 23 2016 at GCP NEXT 2016 in San Francisco.
Open-source data tools allow you to process data in volumes not possible a few years ago, but they can be hard to setup, maintain, and run economically. With years of practical and research experience, Google Cloud Platform is engineering new ways to use existing frameworks, such as Apache Spark and Hadoop, and designing the next generation of data processing tools in Apache Beam (incubating).
Speakers: Frances Perry & James Malone, Google
wn.com/Data Analytics Data Processing Oss The Next Generation
Recorded on Mar 23 2016 at GCP NEXT 2016 in San Francisco.
Open-source data tools allow you to process data in volumes not possible a few years ago, but they can be hard to setup, maintain, and run economically. With years of practical and research experience, Google Cloud Platform is engineering new ways to use existing frameworks, such as Apache Spark and Hadoop, and designing the next generation of data processing tools in Apache Beam (incubating).
Speakers: Frances Perry & James Malone, Google
- published: 29 Mar 2016
- views: 13
"Making Big Data Processing Simple with Spark," Matei Zaharia
- Order: Reorder
- Duration: 62:39
- Updated: 19 Jan 2016
- views: 775
As data volumes grow, we need programming tools for parallel applications that are as easy to use and versatile as those for single machines. The Spark project ...
As data volumes grow, we need programming tools for parallel applications that are as easy to use and versatile as those for single machines. The Spark project started at UC Berkeley to meet these goals. Spark is based on two main ideas. First, it has a language-integrated API in Python, Java, Scala and R, based on functional programming, that makes it easy to build applications out of functions to run on a cluster. Second, it offers a general engine that can support streaming, batch, and interactive computations, as well as advanced analytics such as machine learning, and lets users combine them in one program. Since its release in 2010, Spark has become a highly active open source project, with over 900 contributors and a broad set of built-in libraries. This talk will cover the main ideas behind the Spark programming model, and recent additions to the project.
Presenter: Matei Zaharia, MIT CSAIL; Co-Founder and CTO, Databricks; 2014 ACM Doctoral Dissertation Award
Matei Zaharia is an assistant professor of computer science at MIT and CTO of Databricks, the company commercializing Apache Spark. He started the Spark project during his Ph.D. work at UC Berkeley. He is broadly interested in large-scale computer systems and networks, and has also contributed to projects including Mesos, Hadoop, Tachyon and Shark. Matei received the ACM Best Doctoral Dissertation Award in 2014 for his research, as well as best paper awards at NSDI and SITCOM.
Moderator: Reynold Xin, Co-Founder, Databricks
Reynold Xin is a cofounder of Databricks and a committer on Apache Spark. At Databricks, he oversees technical directions for Spark. He set the 2014 world record in Daytona GraySort 100TB sorting. Prior to Databricks, he was a Ph.D. student at UC Berkeley. He wrote the highest cited papers in SIGMOD 2011, 2013, and 2015.
wn.com/Making Big Data Processing Simple With Spark, Matei Zaharia
As data volumes grow, we need programming tools for parallel applications that are as easy to use and versatile as those for single machines. The Spark project started at UC Berkeley to meet these goals. Spark is based on two main ideas. First, it has a language-integrated API in Python, Java, Scala and R, based on functional programming, that makes it easy to build applications out of functions to run on a cluster. Second, it offers a general engine that can support streaming, batch, and interactive computations, as well as advanced analytics such as machine learning, and lets users combine them in one program. Since its release in 2010, Spark has become a highly active open source project, with over 900 contributors and a broad set of built-in libraries. This talk will cover the main ideas behind the Spark programming model, and recent additions to the project.
Presenter: Matei Zaharia, MIT CSAIL; Co-Founder and CTO, Databricks; 2014 ACM Doctoral Dissertation Award
Matei Zaharia is an assistant professor of computer science at MIT and CTO of Databricks, the company commercializing Apache Spark. He started the Spark project during his Ph.D. work at UC Berkeley. He is broadly interested in large-scale computer systems and networks, and has also contributed to projects including Mesos, Hadoop, Tachyon and Shark. Matei received the ACM Best Doctoral Dissertation Award in 2014 for his research, as well as best paper awards at NSDI and SITCOM.
Moderator: Reynold Xin, Co-Founder, Databricks
Reynold Xin is a cofounder of Databricks and a committer on Apache Spark. At Databricks, he oversees technical directions for Spark. He set the 2014 world record in Daytona GraySort 100TB sorting. Prior to Databricks, he was a Ph.D. student at UC Berkeley. He wrote the highest cited papers in SIGMOD 2011, 2013, and 2015.
- published: 19 Jan 2016
- views: 775
Overview of GPR Data Processing - Robert Freeland, University of Tennessee
- Order: Reorder
- Duration: 16:39
- Updated: 16 Sep 2014
- views: 6840
Overview of the use of ground penetrating radar (GPR) methods in soil surveying by Jim Doolittle (USDA-NRCS),
This talk is presented as part of the Agricultu...
Overview of the use of ground penetrating radar (GPR) methods in soil surveying by Jim Doolittle (USDA-NRCS),
This talk is presented as part of the Agricultural Geophysics Webinar series (ag-geophysics.org). Join the live discussion on Sept.30, 2014 at 3:00PM (EST). Register for the discussion in advance at ag-geophysics.org as space is limited!
wn.com/Overview Of Gpr Data Processing Robert Freeland, University Of Tennessee
Overview of the use of ground penetrating radar (GPR) methods in soil surveying by Jim Doolittle (USDA-NRCS),
This talk is presented as part of the Agricultural Geophysics Webinar series (ag-geophysics.org). Join the live discussion on Sept.30, 2014 at 3:00PM (EST). Register for the discussion in advance at ag-geophysics.org as space is limited!
- published: 16 Sep 2014
- views: 6840
Data Processing Cycle
- Order: Reorder
- Duration: 2:04
- Updated: 02 Sep 2011
- views: 5728
Data Processing cycle
Data Processing cycle
wn.com/Data Processing Cycle
Star Trek First Contact-Data processing speed
- Order: Reorder
- Duration: 0:38
- Updated: 13 Jul 2013
- views: 37198
The borg attempt to take over the enterprise, DATA quickly encrypts the enterprise computer, preventing the borg from taking over the enterprise
The borg attempt to take over the enterprise, DATA quickly encrypts the enterprise computer, preventing the borg from taking over the enterprise
wn.com/Star Trek First Contact Data Processing Speed
The borg attempt to take over the enterprise, DATA quickly encrypts the enterprise computer, preventing the borg from taking over the enterprise
- published: 13 Jul 2013
- views: 37198
Processing LHC Data
- Order: Reorder
- Duration: 5:10
- Updated: 22 Apr 2013
- views: 31150
The LHC produces 600 million collisions every second in each detector, which generates approximately one petabyte of data per second. None of today's computing ...
The LHC produces 600 million collisions every second in each detector, which generates approximately one petabyte of data per second. None of today's computing systems are capable of recording such rates. Hence sophisticated selection systems are used for a first fast electronic pre-selection, only passing one out of 10 000 events. Tens of thousands of processor cores then select 1% of the remaining events. Even after such a drastic data reduction, the four big experiments, ALICE, ATLAS, CMS and LHCb, together need to store over 25 petabytes per year. The LHC data are aggregated in the CERN Data Centre, where initial data reconstruction is performed, and a copy is archived to long-term tape storage. Another copy is sent to several large scale data centres around the world. Subsequently hundreds of thousands of computers from around the world come into action: harnessed in a distributed computing service, they form the Worldwide LHC Computing Grid (WLCG), which provides the resources to store, distribute, and process the LHC data. WLCG combines the power of more than 170 collaborating centres in 36 countries around the world, which are linked to CERN. Every day WLCG processes more than 1.5 million 'jobs', corresponding to a single computer running for more than 600 years.
Produced by: CERN IT department
Director: The Little Big Studio
You can follow us in:
http://www.cern.ch
http://www.youtube.com/cerntv
http://google.com/+CERN
http://www.facebook.com/cern
http://twitter.com/cern/
Copyright © 2013 CERN. Terms of use: http://copyright.web.cern.ch
wn.com/Processing Lhc Data
The LHC produces 600 million collisions every second in each detector, which generates approximately one petabyte of data per second. None of today's computing systems are capable of recording such rates. Hence sophisticated selection systems are used for a first fast electronic pre-selection, only passing one out of 10 000 events. Tens of thousands of processor cores then select 1% of the remaining events. Even after such a drastic data reduction, the four big experiments, ALICE, ATLAS, CMS and LHCb, together need to store over 25 petabytes per year. The LHC data are aggregated in the CERN Data Centre, where initial data reconstruction is performed, and a copy is archived to long-term tape storage. Another copy is sent to several large scale data centres around the world. Subsequently hundreds of thousands of computers from around the world come into action: harnessed in a distributed computing service, they form the Worldwide LHC Computing Grid (WLCG), which provides the resources to store, distribute, and process the LHC data. WLCG combines the power of more than 170 collaborating centres in 36 countries around the world, which are linked to CERN. Every day WLCG processes more than 1.5 million 'jobs', corresponding to a single computer running for more than 600 years.
Produced by: CERN IT department
Director: The Little Big Studio
You can follow us in:
http://www.cern.ch
http://www.youtube.com/cerntv
http://google.com/+CERN
http://www.facebook.com/cern
http://twitter.com/cern/
Copyright © 2013 CERN. Terms of use: http://copyright.web.cern.ch
- published: 22 Apr 2013
- views: 31150
Apache Spark for Big Data Processing
- Order: Reorder
- Duration: 84:41
- Updated: 23 Feb 2016
- views: 1377
Recorded at SpringOne2GX 2015
Presenters: Ludwine Probst & Ilayaperumal Gopinathan
Big Data Track
Slides: http://www.slideshare.net/SpringCentral/apache-spark-f...
Recorded at SpringOne2GX 2015
Presenters: Ludwine Probst & Ilayaperumal Gopinathan
Big Data Track
Slides: http://www.slideshare.net/SpringCentral/apache-spark-for-big-data-processing
Today, we live in the world of Big Data. Hadoop and MapReduce are highly dominant in the domain of large scale data processing. However, the MapReduce model shows its limits for various types of treatment, especially for highly iterative algorithms frequently encountered in the field of Machine Learning.
Spark is an in-memory data processing framework that, unlike Hadoop, provides interactive and real-time analysis on large datasets. Furthermore, Spark has a more flexible programming model and gives better performance than Hadoop.
In this talk, we aim at giving a portrait of Spark and at browsing its ecosystem, in particular Spark Streaming and MLlib with a concrete example. We will also show how you can use Spark with Spring XD, allowing you to take advantage of the strengths in each platform.
wn.com/Apache Spark For Big Data Processing
Recorded at SpringOne2GX 2015
Presenters: Ludwine Probst & Ilayaperumal Gopinathan
Big Data Track
Slides: http://www.slideshare.net/SpringCentral/apache-spark-for-big-data-processing
Today, we live in the world of Big Data. Hadoop and MapReduce are highly dominant in the domain of large scale data processing. However, the MapReduce model shows its limits for various types of treatment, especially for highly iterative algorithms frequently encountered in the field of Machine Learning.
Spark is an in-memory data processing framework that, unlike Hadoop, provides interactive and real-time analysis on large datasets. Furthermore, Spark has a more flexible programming model and gives better performance than Hadoop.
In this talk, we aim at giving a portrait of Spark and at browsing its ecosystem, in particular Spark Streaming and MLlib with a concrete example. We will also show how you can use Spark with Spring XD, allowing you to take advantage of the strengths in each platform.
- published: 23 Feb 2016
- views: 1377
-
Brian Nelson Behind Bitcoin How Block Chain Technology Might Unlock Solutions Across Industries
In this session, Brian Nelson, Sig3, will explore the verification technology behind bitcoin and how it can be applied in multiple industries to enable lightning speed data processing and prioritization in a mega-data world. Brian Nelson is a Co-founder and CEO of Sig3, a policy based automated cosigner that secures and simplifies multi-signature bitcoin transactions. He has participated as a speaker and panelist at numerous Bitcoin, Blockchain and FinTech conferences such as Inside Bitcoins New York and the Blockchain Summit. He is also the organizer of the Blockchain Utah meetup group and co-organizer of the Utah Bitcoin group. Brian has additional experience in MSB regulations and served as a director of the National Money Transmitters Association, the oldest and most trusted associati... -
SpoolWare - Quick View
Fully customizable automation and data processing mechanism. -
Fast Big Data Processing with Spark Training Pune
Fast Big Data Processing with Spark Training Pune http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-pune/ http://www.bigdatatraining.in/ WebSite: http://www.bigdatatraining.in Mail: info@bigdatatraining.in Call: +91 9789968765 044 - 42645495 Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495 Weekdays / Fast Track / Weekends / Corporate Training modes available Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston... -
Fast Big Data Processing with Spark Training Mumbai
Fast Big Data Processing with Spark Training Mumbai http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-mumbai/ http://www.bigdatatraining.in/ WebSite: http://www.bigdatatraining.in Mail: info@bigdatatraining.in Call: +91 9789968765 044 - 42645495 Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495 Weekdays / Fast Track / Weekends / Corporate Training modes available Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Bo... -
Fast Big Data Processing with Spark Training Hyderabad
Fast Big Data Processing with Spark Training Hyderabad http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-hyderabad/ http://www.bigdatatraining.in/ WebSite: http://www.bigdatatraining.in Mail: info@bigdatatraining.in Call: +91 9789968765 044 - 42645495 Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495 Weekdays / Fast Track / Weekends / Corporate Training modes available Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh Ci... -
Fast Big Data Processing with Spark Training Chennai
Fast Big Data Processing with Spark Training Chennai http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-chennai/ http://www.bigdatatraining.in/ WebSite: http://www.bigdatatraining.in Mail: info@bigdatatraining.in Call: +91 9789968765 044 - 42645495 Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495 Weekdays / Fast Track / Weekends / Corporate Training modes available Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, ... -
Fast Big Data Processing with Spark Training Bangalore
Fast Big Data Processing with Spark Training Bangalore http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-bangalore/ http://www.bigdatatraining.in/ WebSite: http://www.bigdatatraining.in Mail: info@bigdatatraining.in Call: +91 9789968765 044 - 42645495 Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495 Weekdays / Fast Track / Weekends / Corporate Training modes available Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh Ci... -
Adventures in Discovery: Is the ediscovery data processing done yet?
In the first episode of Adventures of Discovery, Ben and Erin struggle with the processing data through their ediscovery software in a timely manner. Warning: funny as it is, the store is based on true life events. Learn more at http://legalsolutions.com/new-age. -
Remi Gribonval - Projections, Learning, and Sparsity for Efficient Data Processing
The talk will discuss recent generalizations of sparse recovery guarantees and compressive sensing to the context of machine learning. Assuming some "low-dimensional model" on the probability distribution of the data, we will see that in certain scenarios it is indeed (empirically) possible to compress a large data-collection into a reduced representation, of size driven by the complexity of the learning task, while preserving the essential information necessary to process it. Two case studies will be given: compressive clustering, and compressive Gaussian Mixture Model estimation, with an illustration on large-scale model-based speaker verification. Time allowing, some recent results on compressive spectral clustering ... -
How to Apply for a Costa Rica Gambling License - Info@empire.legal
A Costa Rica Gambling License has become one of the best low cost gaming license options in the industry. Empire Legal (http://www.empire.legal), with its operations across the globe its network amongst top gaming law firms in Costa Rica, helps businesses quickly obtain their online gaming license in Costa Rica. The country has famous beaches and also vast rain forests. Tourists from around the globe visit the country to immerse in its natural beauty and heritage. In recent years, the Government has also promoted industrialisation of the country and Eco-tourism in a bid to move away from the traditional timber production business. The country boasts of a stable government and very strong integration with the Global economy. It has a very competitive taxation rate with no taxes on your gl... -
Fast Big Data Processing with Spark Training Online BigDataTraining.IN
Fast Big Data Processing with Spark Training Online BigDataTraining.IN http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-chennai/ . . WebSite:. http://www.bigdatatraining.in. . Mail:. info@bigdatatraining.in. . Call:. +91 9789968765. 044 - 42645495 . . Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495. . Weekdays / Fast Track / Weekends / Corporate Training modes available. Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai. . On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh Ci... -
fAST bIG dATA pROCESSING WITH sPARK tRAINING oNLINE bIGdATAtRAINING.in
Fast Big Data Processing with Spark Training Online BigDataTraining.IN http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-chennai/ . . WebSite:. http://www.bigdatatraining.in. . Mail:. info@bigdatatraining.in. . Call:. +91 9789968765. 044 - 42645495 . . Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495. . Weekdays / Fast Track / Weekends / Corporate Training modes available. Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai. . On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh Ci... -
Fast Big Data Processing with Spark Training Online BigDataTraining.IN
Fast Big Data Processing with Spark Training Online BigDataTraining.IN http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-chennai/ . . WebSite:. http://www.bigdatatraining.in. . Mail:. info@bigdatatraining.in. . Call:. +91 9789968765. 044 - 42645495 . . Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495. . Weekdays / Fast Track / Weekends / Corporate Training modes available. Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai. . On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh Ci... -
Blender Bezier Curve Animation and importing Curve animation data into Processing (language)
Extends from a previous tutorial of a similar type (non animation). Using Blender as a Bezier curve editor and animator, and then importing data and displaying this both in terms of curve and path tracing on the curve with the given Processing (language) script. I have included .csv table export script from Blender and .csv table data read for in curve animating, and I have an additional Blender tool for use in curve animating in Blender (namely adding in Batch hooks for any number of user specified curves). My code is found here: https://github.com/christophermoverton/Processing/tree/master/BezierAnimation3 -
Fast Big Data Processing with Spark Training Bangalore BigDataTraining.IN
Fast Big Data Processing with Spark Training Bangalore BigDataTraining.IN http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-bangalore/ . . WebSite:. http://www.bigdatatraining.in. . Mail:. info@bigdatatraining.in. . Call:. +91 9789968765. 044 - 42645495 . . Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495. . Weekdays / Fast Track / Weekends / Corporate Training modes available. Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai. . On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Mi... -
Fast Big Data Processing with Spark Training Hyderabad BigDataTraining.IN
Fast Big Data Processing with Spark Training Hyderabad BigDataTraining.IN http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-hyderabad/ . . WebSite:. http://www.bigdatatraining.in. . Mail:. info@bigdatatraining.in. . Call:. +91 9789968765. 044 - 42645495 . . Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495. . Weekdays / Fast Track / Weekends / Corporate Training modes available. Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai. . On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Mi... -
Fast Big Data Processing with Spark Training Chennai BigDataTraining.IN
Fast Big Data Processing with Spark Training Chennai BigDataTraining.IN http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-chennai/ . . WebSite:. http://www.bigdatatraining.in. . Mail:. info@bigdatatraining.in. . Call:. +91 9789968765. 044 - 42645495 . . Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495. . Weekdays / Fast Track / Weekends / Corporate Training modes available. Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai. . On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh C... -
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Download Routine Data Processing in Earthquake Seismology: With Sample Data, Exercises and Softw PDF
http://j.mp/1Mp03Rd -
Download Visualizing Data: Exploring and Explaining Data with the Processing Environment PDF
http://j.mp/1MoEWhR -
Lab 5: Example 2 - Sending data from Processing to Arduino
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Credit card processing pci data security standards
Brian Nelson Behind Bitcoin How Block Chain Technology Might Unlock Solutions Across Industries
- Order: Reorder
- Duration: 26:27
- Updated: 29 Mar 2016
- views: 2
In this session, Brian Nelson, Sig3, will explore the verification technology behind bitcoin and how it can be applied in multiple industries to enable lightnin...
In this session, Brian Nelson, Sig3, will explore the verification technology behind bitcoin and how it can be applied in multiple industries to enable lightning speed data processing and prioritization in a mega-data world.
Brian Nelson is a Co-founder and CEO of Sig3, a policy based automated cosigner that secures and simplifies multi-signature bitcoin transactions. He has participated as a speaker and panelist at numerous Bitcoin, Blockchain and FinTech conferences such as Inside Bitcoins New York and the Blockchain Summit. He is also the organizer of the Blockchain Utah meetup group and co-organizer of the Utah Bitcoin group. Brian has additional experience in MSB regulations and served as a director of the National Money Transmitters Association, the oldest and most trusted association for licensed money transmitters. Brian’s dedicated to building the ecosystem and to the progress of the decentralization of power in an effort to strengthen the global economy.
wn.com/Brian Nelson Behind Bitcoin How Block Chain Technology Might Unlock Solutions Across Industries
In this session, Brian Nelson, Sig3, will explore the verification technology behind bitcoin and how it can be applied in multiple industries to enable lightning speed data processing and prioritization in a mega-data world.
Brian Nelson is a Co-founder and CEO of Sig3, a policy based automated cosigner that secures and simplifies multi-signature bitcoin transactions. He has participated as a speaker and panelist at numerous Bitcoin, Blockchain and FinTech conferences such as Inside Bitcoins New York and the Blockchain Summit. He is also the organizer of the Blockchain Utah meetup group and co-organizer of the Utah Bitcoin group. Brian has additional experience in MSB regulations and served as a director of the National Money Transmitters Association, the oldest and most trusted association for licensed money transmitters. Brian’s dedicated to building the ecosystem and to the progress of the decentralization of power in an effort to strengthen the global economy.
- published: 29 Mar 2016
- views: 2
SpoolWare - Quick View
- Order: Reorder
- Duration: 1:05
- Updated: 29 Mar 2016
- views: 5
Fully customizable automation and data processing mechanism.
Fully customizable automation and data processing mechanism.
wn.com/Spoolware Quick View
Fully customizable automation and data processing mechanism.
- published: 29 Mar 2016
- views: 5
Fast Big Data Processing with Spark Training Pune
- Order: Reorder
- Duration: 7:04
- Updated: 29 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Pune http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-pune/
http://www.bigdatatr...
Fast Big Data Processing with Spark Training Pune http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-pune/
http://www.bigdatatraining.in/
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Mail:
info@bigdatatraining.in
Call:
+91 9789968765
044 - 42645495
Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495
Weekdays / Fast Track / Weekends / Corporate Training modes available
Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai
On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing
wn.com/Fast Big Data Processing With Spark Training Pune
Fast Big Data Processing with Spark Training Pune http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-pune/
http://www.bigdatatraining.in/
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Call:
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044 - 42645495
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Weekdays / Fast Track / Weekends / Corporate Training modes available
Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai
On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing
- published: 29 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Mumbai
- Order: Reorder
- Duration: 7:04
- Updated: 29 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Mumbai http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-mumbai/
http://www.bigda...
Fast Big Data Processing with Spark Training Mumbai http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-mumbai/
http://www.bigdatatraining.in/
WebSite:
http://www.bigdatatraining.in
Mail:
info@bigdatatraining.in
Call:
+91 9789968765
044 - 42645495
Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495
Weekdays / Fast Track / Weekends / Corporate Training modes available
Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai
On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing
wn.com/Fast Big Data Processing With Spark Training Mumbai
Fast Big Data Processing with Spark Training Mumbai http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-mumbai/
http://www.bigdatatraining.in/
WebSite:
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Mail:
info@bigdatatraining.in
Call:
+91 9789968765
044 - 42645495
Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495
Weekdays / Fast Track / Weekends / Corporate Training modes available
Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai
On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing
- published: 29 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Hyderabad
- Order: Reorder
- Duration: 7:04
- Updated: 29 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Hyderabad http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-hyderabad/
http://www...
Fast Big Data Processing with Spark Training Hyderabad http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-hyderabad/
http://www.bigdatatraining.in/
WebSite:
http://www.bigdatatraining.in
Mail:
info@bigdatatraining.in
Call:
+91 9789968765
044 - 42645495
Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495
Weekdays / Fast Track / Weekends / Corporate Training modes available
Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai
On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing
wn.com/Fast Big Data Processing With Spark Training Hyderabad
Fast Big Data Processing with Spark Training Hyderabad http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-hyderabad/
http://www.bigdatatraining.in/
WebSite:
http://www.bigdatatraining.in
Mail:
info@bigdatatraining.in
Call:
+91 9789968765
044 - 42645495
Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495
Weekdays / Fast Track / Weekends / Corporate Training modes available
Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai
On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing
- published: 29 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Chennai
- Order: Reorder
- Duration: 7:05
- Updated: 29 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Chennai http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-chennai/
http://www.big...
Fast Big Data Processing with Spark Training Chennai http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-chennai/
http://www.bigdatatraining.in/
WebSite:
http://www.bigdatatraining.in
Mail:
info@bigdatatraining.in
Call:
+91 9789968765
044 - 42645495
Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495
Weekdays / Fast Track / Weekends / Corporate Training modes available
Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai
On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing
wn.com/Fast Big Data Processing With Spark Training Chennai
Fast Big Data Processing with Spark Training Chennai http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-chennai/
http://www.bigdatatraining.in/
WebSite:
http://www.bigdatatraining.in
Mail:
info@bigdatatraining.in
Call:
+91 9789968765
044 - 42645495
Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495
Weekdays / Fast Track / Weekends / Corporate Training modes available
Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai
On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing
- published: 29 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Bangalore
- Order: Reorder
- Duration: 7:05
- Updated: 29 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Bangalore http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-bangalore/
http://www...
Fast Big Data Processing with Spark Training Bangalore http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-bangalore/
http://www.bigdatatraining.in/
WebSite:
http://www.bigdatatraining.in
Mail:
info@bigdatatraining.in
Call:
+91 9789968765
044 - 42645495
Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495
Weekdays / Fast Track / Weekends / Corporate Training modes available
Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai
On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing
wn.com/Fast Big Data Processing With Spark Training Bangalore
Fast Big Data Processing with Spark Training Bangalore http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-bangalore/
http://www.bigdatatraining.in/
WebSite:
http://www.bigdatatraining.in
Mail:
info@bigdatatraining.in
Call:
+91 9789968765
044 - 42645495
Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495
Weekdays / Fast Track / Weekends / Corporate Training modes available
Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai
On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing
- published: 29 Mar 2016
- views: 0
Adventures in Discovery: Is the ediscovery data processing done yet?
- Order: Reorder
- Duration: 6:24
- Updated: 28 Mar 2016
- views: 2
In the first episode of Adventures of Discovery, Ben and Erin struggle with the processing data through their ediscovery software in a timely manner. Warning: f...
In the first episode of Adventures of Discovery, Ben and Erin struggle with the processing data through their ediscovery software in a timely manner. Warning: funny as it is, the store is based on true life events.
Learn more at http://legalsolutions.com/new-age.
wn.com/Adventures In Discovery Is The Ediscovery Data Processing Done Yet
In the first episode of Adventures of Discovery, Ben and Erin struggle with the processing data through their ediscovery software in a timely manner. Warning: funny as it is, the store is based on true life events.
Learn more at http://legalsolutions.com/new-age.
- published: 28 Mar 2016
- views: 2
Remi Gribonval - Projections, Learning, and Sparsity for Efficient Data Processing
- Order: Reorder
- Duration: 66:47
- Updated: 28 Mar 2016
- views: 1
The talk will discuss recent generalizations of sparse recovery guarantees and compressive sensing to the context of machine learning. Assuming some "...
The talk will discuss recent generalizations of sparse recovery guarantees and compressive sensing to the context of machine learning. Assuming some "low-dimensional model" on the
probability distribution of the data, we will see that in certain scenarios it is indeed (empirically) possible to compress a large data-collection into a reduced representation, of
size driven by the complexity of the learning task, while preserving the essential information necessary to process it. Two case studies will be given: compressive clustering, and
compressive Gaussian Mixture Model estimation, with an illustration on large-scale model-based speaker verification. Time allowing, some recent results on compressive spectral
clustering will also be discussed.
wn.com/Remi Gribonval Projections, Learning, And Sparsity For Efficient Data Processing
The talk will discuss recent generalizations of sparse recovery guarantees and compressive sensing to the context of machine learning. Assuming some "low-dimensional model" on the
probability distribution of the data, we will see that in certain scenarios it is indeed (empirically) possible to compress a large data-collection into a reduced representation, of
size driven by the complexity of the learning task, while preserving the essential information necessary to process it. Two case studies will be given: compressive clustering, and
compressive Gaussian Mixture Model estimation, with an illustration on large-scale model-based speaker verification. Time allowing, some recent results on compressive spectral
clustering will also be discussed.
- published: 28 Mar 2016
- views: 1
How to Apply for a Costa Rica Gambling License - Info@empire.legal
- Order: Reorder
- Duration: 2:17
- Updated: 28 Mar 2016
- views: 10
A Costa Rica Gambling License has become one of the best low cost gaming license options in the industry. Empire Legal (http://www.empire.legal), with its opera...
A Costa Rica Gambling License has become one of the best low cost gaming license options in the industry. Empire Legal (http://www.empire.legal), with its operations across the globe its network amongst top gaming law firms in Costa Rica, helps businesses quickly obtain their online gaming license in Costa Rica. The country has famous beaches and also vast rain forests. Tourists from around the globe visit the country to immerse in its natural beauty and heritage. In recent years, the Government has also promoted industrialisation of the country and Eco-tourism in a bid to move away from the traditional timber production business.
The country boasts of a stable government and very strong integration with the Global economy. It has a very competitive taxation rate with no taxes on your global income which makes it a preferred business destination. Costa Rica has also emerged as a famous gaming destination and the country also makes it possible to run an online gaming business.
Costa Rica Gambling License
Costa Rica till date does not have a separate gambling authority. As a result most of the Costa Rica Gambling Licenses are issued in the form of a “Technology Company” or “Data Processing Company”. A Costa Rica Gaming License in the form a Company Registration is mostly taken for online gaming.
It has emerged as a popular destination owing to the lack of separate regulatory authority which reduces the hassles of taking a separate online gaming license.
Steps to Obtain a Costa Rica Gambling License
The process of obtaining a Costa Rica Gaming License generally consists of the following steps:
Formation of a Costa Rica Company:
Costa Rica company formation is the first but important step in the process. The companies are registered with Costa Rica Commerce, Industry and Economy Ministry. The cost of obtaining a company registration varies but is normally around US $3,500- $5,000.00
Costa Rica Online Gambling company Features and Benefits
1. no paid up capital deposits required
2. no taxes on income derived outside of Costa Rica.
3. No country restrictions (all nations may apply)
4. reasonably quick turnaround 4 to 8 weeks.
5. Very short due diligence required
6. low costs and fees
7. low annual renewal fees
8. no restrictions on operations OUTSIDE of Costa Rica
Registration with taxation authorities
The next step is registration with the Costa Rican Tax authorities. Although no taxes are required to be paid on the global income, registration is still compulsory.
Obtaining a Data Processing License
A data processing license is required for the commencement of the business. In certain cases an establishment in Costa Rica may be required which may be arranged on payment.
Costa Rica Bank Account and Payment Processing
For receiving funds and running the business, opening a Costa Rica Bank Account is required. Also we will arrange for agreements for payment processors for your business.
Once these processes are complete you are ready to commence your business with your online Costa Rica Casino. The only restrictions present is that you cannot accept bets from within Costa Rica
Want to Apply for a Costa Rica Online Gambling Company (Gambling License Alternative)?
Since Costa Rica provides a great deal of freedom in the online gaming business and the ability to access markets from across the globe. Empire Legal provides all inclusive legal assistance to establish your Online Gambling Company in Costa Rica. Upon retention we provide you with
A legally compliant Costa Rica Corporation and Data processing license.
Our Legal Opinion verifying the company’s compliance with local laws in offering an online gaming services.
Empire Legal with its operations across the globe its network amongst top gaming law firms in Costa Rica, this would inevitably be the quickest route to your online gaming license. The experts at Empire Legal will assist in completion of all the steps staring with company formation to commencement of your business. You can reach the Online Gaming License team at Empire Legal through our website http://www.empire.legal and or by email at info@empire.legal. We offer clear written contract agreements clearly mentioning the applicable charges including the refund policy, in the unlikely event that the application is unsuccessful.
For More information goto:
http://www.empire.legal
http://empire.legal/costa-rica-license-technology-company/
wn.com/How To Apply For A Costa Rica Gambling License Info Empire.Legal
A Costa Rica Gambling License has become one of the best low cost gaming license options in the industry. Empire Legal (http://www.empire.legal), with its operations across the globe its network amongst top gaming law firms in Costa Rica, helps businesses quickly obtain their online gaming license in Costa Rica. The country has famous beaches and also vast rain forests. Tourists from around the globe visit the country to immerse in its natural beauty and heritage. In recent years, the Government has also promoted industrialisation of the country and Eco-tourism in a bid to move away from the traditional timber production business.
The country boasts of a stable government and very strong integration with the Global economy. It has a very competitive taxation rate with no taxes on your global income which makes it a preferred business destination. Costa Rica has also emerged as a famous gaming destination and the country also makes it possible to run an online gaming business.
Costa Rica Gambling License
Costa Rica till date does not have a separate gambling authority. As a result most of the Costa Rica Gambling Licenses are issued in the form of a “Technology Company” or “Data Processing Company”. A Costa Rica Gaming License in the form a Company Registration is mostly taken for online gaming.
It has emerged as a popular destination owing to the lack of separate regulatory authority which reduces the hassles of taking a separate online gaming license.
Steps to Obtain a Costa Rica Gambling License
The process of obtaining a Costa Rica Gaming License generally consists of the following steps:
Formation of a Costa Rica Company:
Costa Rica company formation is the first but important step in the process. The companies are registered with Costa Rica Commerce, Industry and Economy Ministry. The cost of obtaining a company registration varies but is normally around US $3,500- $5,000.00
Costa Rica Online Gambling company Features and Benefits
1. no paid up capital deposits required
2. no taxes on income derived outside of Costa Rica.
3. No country restrictions (all nations may apply)
4. reasonably quick turnaround 4 to 8 weeks.
5. Very short due diligence required
6. low costs and fees
7. low annual renewal fees
8. no restrictions on operations OUTSIDE of Costa Rica
Registration with taxation authorities
The next step is registration with the Costa Rican Tax authorities. Although no taxes are required to be paid on the global income, registration is still compulsory.
Obtaining a Data Processing License
A data processing license is required for the commencement of the business. In certain cases an establishment in Costa Rica may be required which may be arranged on payment.
Costa Rica Bank Account and Payment Processing
For receiving funds and running the business, opening a Costa Rica Bank Account is required. Also we will arrange for agreements for payment processors for your business.
Once these processes are complete you are ready to commence your business with your online Costa Rica Casino. The only restrictions present is that you cannot accept bets from within Costa Rica
Want to Apply for a Costa Rica Online Gambling Company (Gambling License Alternative)?
Since Costa Rica provides a great deal of freedom in the online gaming business and the ability to access markets from across the globe. Empire Legal provides all inclusive legal assistance to establish your Online Gambling Company in Costa Rica. Upon retention we provide you with
A legally compliant Costa Rica Corporation and Data processing license.
Our Legal Opinion verifying the company’s compliance with local laws in offering an online gaming services.
Empire Legal with its operations across the globe its network amongst top gaming law firms in Costa Rica, this would inevitably be the quickest route to your online gaming license. The experts at Empire Legal will assist in completion of all the steps staring with company formation to commencement of your business. You can reach the Online Gaming License team at Empire Legal through our website http://www.empire.legal and or by email at info@empire.legal. We offer clear written contract agreements clearly mentioning the applicable charges including the refund policy, in the unlikely event that the application is unsuccessful.
For More information goto:
http://www.empire.legal
http://empire.legal/costa-rica-license-technology-company/
- published: 28 Mar 2016
- views: 10
Fast Big Data Processing with Spark Training Online BigDataTraining.IN
- Order: Reorder
- Duration: 0:14
- Updated: 26 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Online BigDataTraining.IN http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-chennai/...
Fast Big Data Processing with Spark Training Online BigDataTraining.IN http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-chennai/ .
.
WebSite:.
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Mail:.
info@bigdatatraining.in.
.
Call:.
+91 9789968765.
044 - 42645495 .
.
Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495.
.
Weekdays / Fast Track / Weekends / Corporate Training modes available.
Our Trainings Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati & Chennai.
.
On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing.
wn.com/Fast Big Data Processing With Spark Training Online Bigdatatraining.In
Fast Big Data Processing with Spark Training Online BigDataTraining.IN http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-chennai/ .
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WebSite:.
http://www.bigdatatraining.in.
.
Mail:.
info@bigdatatraining.in.
.
Call:.
+91 9789968765.
044 - 42645495 .
.
Call â: +91 97899 68765 / +91 9962774619 / 044 â 42645495.
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- published: 26 Mar 2016
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fAST bIG dATA pROCESSING WITH sPARK tRAINING oNLINE bIGdATAtRAINING.in
- Order: Reorder
- Duration: 0:18
- Updated: 26 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Online BigDataTraining.IN http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-chennai/...
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On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing.
- published: 26 Mar 2016
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Fast Big Data Processing with Spark Training Online BigDataTraining.IN
- Order: Reorder
- Duration: 0:20
- Updated: 25 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Online BigDataTraining.IN http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-chennai/...
Fast Big Data Processing with Spark Training Online BigDataTraining.IN http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-chennai/ .
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wn.com/Fast Big Data Processing With Spark Training Online Bigdatatraining.In
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On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing.
- published: 25 Mar 2016
- views: 0
Blender Bezier Curve Animation and importing Curve animation data into Processing (language)
- Order: Reorder
- Duration: 49:23
- Updated: 26 Mar 2016
- views: 0
Extends from a previous tutorial of a similar type (non animation). Using Blender as a Bezier curve editor and animator, and then importing data and displaying...
Extends from a previous tutorial of a similar type (non animation). Using Blender as a Bezier curve editor and animator, and then importing data and displaying this both in terms of curve and path tracing on the curve with the given Processing (language) script.
I have included .csv table export script from Blender and .csv table data read for in curve animating, and I have an additional Blender tool for use in curve animating in Blender (namely adding in Batch hooks for any number of user specified curves).
My code is found here:
https://github.com/christophermoverton/Processing/tree/master/BezierAnimation3
wn.com/Blender Bezier Curve Animation And Importing Curve Animation Data Into Processing (Language)
Extends from a previous tutorial of a similar type (non animation). Using Blender as a Bezier curve editor and animator, and then importing data and displaying this both in terms of curve and path tracing on the curve with the given Processing (language) script.
I have included .csv table export script from Blender and .csv table data read for in curve animating, and I have an additional Blender tool for use in curve animating in Blender (namely adding in Batch hooks for any number of user specified curves).
My code is found here:
https://github.com/christophermoverton/Processing/tree/master/BezierAnimation3
- published: 26 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Bangalore BigDataTraining.IN
- Order: Reorder
- Duration: 0:20
- Updated: 25 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Bangalore BigDataTraining.IN http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-banga...
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On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing.
- published: 25 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Hyderabad BigDataTraining.IN
- Order: Reorder
- Duration: 0:20
- Updated: 25 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Hyderabad BigDataTraining.IN http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-hyder...
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wn.com/Fast Big Data Processing With Spark Training Hyderabad Bigdatatraining.In
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On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing.
- published: 25 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Chennai BigDataTraining.IN
- Order: Reorder
- Duration: 0:20
- Updated: 25 Mar 2016
- views: 0
Fast Big Data Processing with Spark Training Chennai BigDataTraining.IN http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-chennai...
Fast Big Data Processing with Spark Training Chennai BigDataTraining.IN http://www.hadooptrainingchennai.in/fast-big-data-processing-with-spark-training-chennai/ .
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wn.com/Fast Big Data Processing With Spark Training Chennai Bigdatatraining.In
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On-Demand Fast track Trainings globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing.
- published: 25 Mar 2016
- views: 0
Global Associates a trusted name in Data processing and Data conversion outsourcing services
- Order: Reorder
- Duration: 4:00
- Updated: 25 Mar 2016
- views: 3
Global Associates has been successfully providing Risk Free Guarantee Services supporting Data entry, Data processing, Online data entry, offline data entry, ca...
Global Associates has been successfully providing Risk Free Guarantee Services supporting Data entry, Data processing, Online data entry, offline data entry, catalogue data entry, product entry, oScommerce data entry, Manual data entry, forms data entry, low cost typing, duplicating services, copying services, Image entry, Data storage services, Data recovery, Data conversion services, outsource data conversion services, Document conversion, PDF to excel conversion, PDF to word conversion, Ocr data conversion services, content conversion, Book conversion, PDF conversion, HTML conversion, Form processing etc to the clients worldwide.
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wn.com/Global Associates A Trusted Name In Data Processing And Data Conversion Outsourcing Services
Global Associates has been successfully providing Risk Free Guarantee Services supporting Data entry, Data processing, Online data entry, offline data entry, catalogue data entry, product entry, oScommerce data entry, Manual data entry, forms data entry, low cost typing, duplicating services, copying services, Image entry, Data storage services, Data recovery, Data conversion services, outsource data conversion services, Document conversion, PDF to excel conversion, PDF to word conversion, Ocr data conversion services, content conversion, Book conversion, PDF conversion, HTML conversion, Form processing etc to the clients worldwide.
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- published: 25 Mar 2016
- views: 3
Download Routine Data Processing in Earthquake Seismology: With Sample Data, Exercises and Softw PDF
- Order: Reorder
- Duration: 0:32
- Updated: 25 Mar 2016
- views: 0
http://j.mp/1Mp03Rd
http://j.mp/1Mp03Rd
wn.com/Download Routine Data Processing In Earthquake Seismology With Sample Data, Exercises And Softw Pdf
Download Visualizing Data: Exploring and Explaining Data with the Processing Environment PDF
- Order: Reorder
- Duration: 0:32
- Updated: 25 Mar 2016
- views: 0
http://j.mp/1MoEWhR
http://j.mp/1MoEWhR
wn.com/Download Visualizing Data Exploring And Explaining Data With The Processing Environment Pdf
Lab 5: Example 2 - Sending data from Processing to Arduino
- Order: Reorder
- Duration: 0:13
- Updated: 23 Mar 2016
- views: 0
- published: 23 Mar 2016
- views: 0
Credit card processing pci data security standards
- Order: Reorder
- Duration: 5:05
- Updated: 23 Mar 2016
- views: 0
- published: 23 Mar 2016
- views: 0
-
Student Seminar 03/11/14 - Big Data Processing
by Lukas Rupprecht -
Python and Data Processing and Visualization
Eric Pershey http://www.pyvideo.org/video/3537/python-and-data-processing-and-visualization Argonne National Laboratory's Leadership Computing Facility uses Python in many ways from developing tools, testing supercomputers, completing real science, and much more all using Python. We will dive into a few of these systems and how Python has benefited us. -
Data Processing at the LHC
Google Tech Talk February 8, 2011 Presented by Bob Jones, CERN IT Department, IT EU Project Leader ABSTRACT CERN, the European Organization for Nuclear Research, is one of the world's largest and most respected centres for scientific research. Its business is fundamental physics, finding out what the Universe is made of and how it works. CERN has recently completed the construction of the LHC, the world's largest and most powerful particle accelerator. Thousands of scientists around the world have contributed to constructing the sophisticated LHC experiments and they are now eagerly waiting to get their hands on more data to extract the physics during the next fifteen years, the expected lifetime of the LHC. To reach this goal, tens of thousands of computers distributed worldwide... -
Spark Summit 2013 - Real-time big data processing with Spark Streaming - Tathagata Das
-
MapReduce: Simplified Data Processing on Large Clusters, presented by Jon Tedesco
Student summary presentation of the original MapReduce paper from OSDI '04 for CS 598 : Cloud Computing. The original paper can be found here: www.usenix.org/event/osdi04/tech/full_papers/dean/dean.pdf Sorry if the audio is a little quiet, didn't maintain the best quality exporting from PowerPoint. -
Lecture 8: Principles of data processing with XDS
Presenter: Kay Diederichs, University of Konstanz, Germany Topic: Principles of data processing with XDS. Presented as part of: SBGrid/NE-CAT 2014: Data Processing in Crystallography June 5-6, 2014 -
Distributed data processing using Spark in Radio Astronomy
-
Best Practices in Data Processing and Analysis to Achieve High-Quality SPR Results
For more information, visit http://www.bio-rad.com/yt/4/proteonwebinar This webinar focuses on the best practices for data processing and analysis in SPR experiments. As a senior field application scientist working on the ProteOn™ XPR36 system, Dr. Jonathan Popplewell has over 10 years of experience with label-free analysis. He covers a range of topics including the use of standard errors, use of local versus grouped or global fits, generating standard deviations, and how to put data sets together for statistical analysis. Viewers will gain deep knowledge of the many factors included in data processing and analysis, as well as how to design experiments for better data acquisition. These best practices will lead to high-quality SPR results. Presenter: Jonathan Popplewell, PhD Field Applica... -
IBM 705 Mainframe Computer - 1957 - 1960's era Data Processing machines - USAF Military Punch Card
This public domain film provides a good depiction of a 1957-1960's era data processing installation at a U.S. Air Base. - Although the letters “IBM” were apparently taped over by the original film producers, the equipment is clearly an early IBM mainframe, almost certainly a model 705 EDPM with its accompanying peripheral devices. The IBM 705 was introduced in 1954 and installed starting in 1956. It was a large vacuum tube based computer -- one of the most powerful data processing systems available at during the late 1950's. This 20 minute film is good quality, with color and sound, lightened up slightly from the original to improve the detail of the computer equipment. Computer footage starts at 4 minutes into the film. It is provided here for its educational value in depicting... -
Big Data - processing log files with BigInsights Text Analytics
http://www.ibm.com/software/data/bigdata/ Gary Robinson- a member of the Big Data Enablement team - shows us how log files can be processed with BigInsights Text Analytics, providing a more robust and scalable solution than custom code. Video produced, directed and edited by Gary Robinson, contact robinsg at us.ibm.com Music Track title: Clouds, composer: Dmitriy Lukyanov, publisher:Shockwave-Sound.Com Royalty Free
Student Seminar 03/11/14 - Big Data Processing
- Order: Reorder
- Duration: 31:41
- Updated: 07 Nov 2014
- views: 563
by Lukas Rupprecht
by Lukas Rupprecht
wn.com/Student Seminar 03 11 14 Big Data Processing
Python and Data Processing and Visualization
- Order: Reorder
- Duration: 35:20
- Updated: 30 May 2015
- views: 852
Eric Pershey
http://www.pyvideo.org/video/3537/python-and-data-processing-and-visualization
Argonne National Laboratory's Leadership Computing Facility uses Pyt...
Eric Pershey
http://www.pyvideo.org/video/3537/python-and-data-processing-and-visualization
Argonne National Laboratory's Leadership Computing Facility uses Python in many ways from developing tools, testing supercomputers, completing real science, and much more all using Python. We will dive into a few of these systems and how Python has benefited us.
wn.com/Python And Data Processing And Visualization
Eric Pershey
http://www.pyvideo.org/video/3537/python-and-data-processing-and-visualization
Argonne National Laboratory's Leadership Computing Facility uses Python in many ways from developing tools, testing supercomputers, completing real science, and much more all using Python. We will dive into a few of these systems and how Python has benefited us.
- published: 30 May 2015
- views: 852
Data Processing at the LHC
- Order: Reorder
- Duration: 49:42
- Updated: 15 Feb 2011
- views: 10240
Google Tech Talk
February 8, 2011
Presented by Bob Jones, CERN IT Department, IT EU Project Leader
ABSTRACT
CERN, the European Organization for Nuclea...
Google Tech Talk
February 8, 2011
Presented by Bob Jones, CERN IT Department, IT EU Project Leader
ABSTRACT
CERN, the European Organization for Nuclear Research, is one of the world's largest and most respected centres for scientific research. Its business is fundamental physics, finding out what the Universe is made of and how it works. CERN has recently completed the construction of the LHC, the world's largest and most powerful particle accelerator. Thousands of scientists around the world have contributed to constructing the sophisticated LHC experiments and they are now eagerly waiting to get their hands on more data to extract the physics during the next fifteen years, the expected lifetime of the LHC. To reach this goal, tens of thousands of computers distributed worldwide are being harnessed in a distributed computing network called the Worldwide LHC Computing Grid (WLCG). This supports the offline computing needs of the LHC experiments, connecting and combining the IT power of more than 150 computer centres in more than 30 countries. The rapid increase in performance of the LHC accelerator is having an impact on the computing requirements since it increases the rate, complexity and quantity of data that the LHC experiments need to store, distribute and process. The previous estimates of 15 Petabytes per year of stored data are already looking conservative and so it is necessary to plan to go well beyond this figure. This presentation will give an overview of CERN, its IT department, WLCG and how we expect the computing environment for the LHC to evolve in the future
wn.com/Data Processing At The Lhc
Google Tech Talk
February 8, 2011
Presented by Bob Jones, CERN IT Department, IT EU Project Leader
ABSTRACT
CERN, the European Organization for Nuclear Research, is one of the world's largest and most respected centres for scientific research. Its business is fundamental physics, finding out what the Universe is made of and how it works. CERN has recently completed the construction of the LHC, the world's largest and most powerful particle accelerator. Thousands of scientists around the world have contributed to constructing the sophisticated LHC experiments and they are now eagerly waiting to get their hands on more data to extract the physics during the next fifteen years, the expected lifetime of the LHC. To reach this goal, tens of thousands of computers distributed worldwide are being harnessed in a distributed computing network called the Worldwide LHC Computing Grid (WLCG). This supports the offline computing needs of the LHC experiments, connecting and combining the IT power of more than 150 computer centres in more than 30 countries. The rapid increase in performance of the LHC accelerator is having an impact on the computing requirements since it increases the rate, complexity and quantity of data that the LHC experiments need to store, distribute and process. The previous estimates of 15 Petabytes per year of stored data are already looking conservative and so it is necessary to plan to go well beyond this figure. This presentation will give an overview of CERN, its IT department, WLCG and how we expect the computing environment for the LHC to evolve in the future
- published: 15 Feb 2011
- views: 10240
Spark Summit 2013 - Real-time big data processing with Spark Streaming - Tathagata Das
- Order: Reorder
- Duration: 37:22
- Updated: 12 Dec 2013
- views: 7881
- published: 12 Dec 2013
- views: 7881
MapReduce: Simplified Data Processing on Large Clusters, presented by Jon Tedesco
- Order: Reorder
- Duration: 27:45
- Updated: 30 Jan 2012
- views: 2397
Student summary presentation of the original MapReduce paper from OSDI '04 for CS 598 : Cloud Computing. The original paper can be found here: www.usenix.org/ev...
Student summary presentation of the original MapReduce paper from OSDI '04 for CS 598 : Cloud Computing. The original paper can be found here: www.usenix.org/event/osdi04/tech/full_papers/dean/dean.pdf
Sorry if the audio is a little quiet, didn't maintain the best quality exporting from PowerPoint.
wn.com/Mapreduce Simplified Data Processing On Large Clusters, Presented By Jon Tedesco
Student summary presentation of the original MapReduce paper from OSDI '04 for CS 598 : Cloud Computing. The original paper can be found here: www.usenix.org/event/osdi04/tech/full_papers/dean/dean.pdf
Sorry if the audio is a little quiet, didn't maintain the best quality exporting from PowerPoint.
- published: 30 Jan 2012
- views: 2397
Lecture 8: Principles of data processing with XDS
- Order: Reorder
- Duration: 47:06
- Updated: 22 Sep 2014
- views: 702
Presenter: Kay Diederichs, University of Konstanz, Germany
Topic: Principles of data processing with XDS.
Presented as part of:
SBGrid/NE-CAT 2014: Data Pro...
Presenter: Kay Diederichs, University of Konstanz, Germany
Topic: Principles of data processing with XDS.
Presented as part of:
SBGrid/NE-CAT 2014: Data Processing in Crystallography
June 5-6, 2014
wn.com/Lecture 8 Principles Of Data Processing With Xds
Presenter: Kay Diederichs, University of Konstanz, Germany
Topic: Principles of data processing with XDS.
Presented as part of:
SBGrid/NE-CAT 2014: Data Processing in Crystallography
June 5-6, 2014
- published: 22 Sep 2014
- views: 702
Distributed data processing using Spark in Radio Astronomy
- Order: Reorder
- Duration: 40:31
- Updated: 29 Oct 2015
- views: 258
- published: 29 Oct 2015
- views: 258
Best Practices in Data Processing and Analysis to Achieve High-Quality SPR Results
- Order: Reorder
- Duration: 21:42
- Updated: 18 Oct 2012
- views: 844
For more information, visit http://www.bio-rad.com/yt/4/proteonwebinar
This webinar focuses on the best practices for data processing and analysis in SPR experi...
For more information, visit http://www.bio-rad.com/yt/4/proteonwebinar
This webinar focuses on the best practices for data processing and analysis in SPR experiments. As a senior field application scientist working on the ProteOn™ XPR36 system, Dr. Jonathan Popplewell has over 10 years of experience with label-free analysis. He covers a range of topics including the use of standard errors, use of local versus grouped or global fits, generating standard deviations, and how to put data sets together for statistical analysis. Viewers will gain deep knowledge of the many factors included in data processing and analysis, as well as how to design experiments for better data acquisition. These best practices will lead to high-quality SPR results.
Presenter:
Jonathan Popplewell, PhD
Field Application Scientist
Bio-Rad Laboratories, UK
http://www.bio-rad.com/evportal/destination/product?catID=cfcf89c2-a3c9-454d-857c-4bb2f156f924&WT.mc;_id=yt-pfd-ww-proteonxpr36-20121015-upBwGRs_7C0
wn.com/Best Practices In Data Processing And Analysis To Achieve High Quality Spr Results
For more information, visit http://www.bio-rad.com/yt/4/proteonwebinar
This webinar focuses on the best practices for data processing and analysis in SPR experiments. As a senior field application scientist working on the ProteOn™ XPR36 system, Dr. Jonathan Popplewell has over 10 years of experience with label-free analysis. He covers a range of topics including the use of standard errors, use of local versus grouped or global fits, generating standard deviations, and how to put data sets together for statistical analysis. Viewers will gain deep knowledge of the many factors included in data processing and analysis, as well as how to design experiments for better data acquisition. These best practices will lead to high-quality SPR results.
Presenter:
Jonathan Popplewell, PhD
Field Application Scientist
Bio-Rad Laboratories, UK
http://www.bio-rad.com/evportal/destination/product?catID=cfcf89c2-a3c9-454d-857c-4bb2f156f924&WT.mc;_id=yt-pfd-ww-proteonxpr36-20121015-upBwGRs_7C0
- published: 18 Oct 2012
- views: 844
IBM 705 Mainframe Computer - 1957 - 1960's era Data Processing machines - USAF Military Punch Card
- Order: Reorder
- Duration: 20:26
- Updated: 06 Jan 2016
- views: 413
This public domain film provides a good depiction of a 1957-1960's era data processing installation at a U.S. Air Base. - Although the letters “IBM” were app...
This public domain film provides a good depiction of a 1957-1960's era data processing installation at a U.S. Air Base. - Although the letters “IBM” were apparently taped over by the original film producers, the equipment is clearly an early IBM mainframe, almost certainly a model 705 EDPM with its accompanying peripheral devices. The IBM 705 was introduced in 1954 and installed starting in 1956. It was a large vacuum tube based computer -- one of the most powerful data processing systems available at during the late 1950's.
This 20 minute film is good quality, with color and sound, lightened up slightly from the original to improve the detail of the computer equipment. Computer footage starts at 4 minutes into the film.
It is provided here for its educational value in depicting early data processing equipment and procedures.
Please feel free to comment and share your thoughts and experiences.
Hope you enjoy this vintage material.
~ Computer History Archives Project
Key Words and Topics in the Film:
Data Processing
Keypunch Operator
Keypunch Machine
Punch Card Filing System
Card-to-tape converter
IBM Punch Card Reader
Computer Operator
Communications
High Speed Printer
Greenbar Paper
Tractor Feed Paper
Exception Reporting
IBM Electronic Data Processing Machines (EDPM)
Logistics Support Management
Supply
Weapons Support
Maintenance
Air Force
Teletype
Transceiver
Telephone
Resupply
Operational Readiness
Launch pad
Procurement
Inventory
Pipeline
Missiles
Transportation Scheduling
Inventory Control
Stock Levels
Failure Analysis
Provisioning Status
Electronic Data Processing
wn.com/Ibm 705 Mainframe Computer 1957 1960's Era Data Processing Machines Usaf Military Punch Card
This public domain film provides a good depiction of a 1957-1960's era data processing installation at a U.S. Air Base. - Although the letters “IBM” were apparently taped over by the original film producers, the equipment is clearly an early IBM mainframe, almost certainly a model 705 EDPM with its accompanying peripheral devices. The IBM 705 was introduced in 1954 and installed starting in 1956. It was a large vacuum tube based computer -- one of the most powerful data processing systems available at during the late 1950's.
This 20 minute film is good quality, with color and sound, lightened up slightly from the original to improve the detail of the computer equipment. Computer footage starts at 4 minutes into the film.
It is provided here for its educational value in depicting early data processing equipment and procedures.
Please feel free to comment and share your thoughts and experiences.
Hope you enjoy this vintage material.
~ Computer History Archives Project
Key Words and Topics in the Film:
Data Processing
Keypunch Operator
Keypunch Machine
Punch Card Filing System
Card-to-tape converter
IBM Punch Card Reader
Computer Operator
Communications
High Speed Printer
Greenbar Paper
Tractor Feed Paper
Exception Reporting
IBM Electronic Data Processing Machines (EDPM)
Logistics Support Management
Supply
Weapons Support
Maintenance
Air Force
Teletype
Transceiver
Telephone
Resupply
Operational Readiness
Launch pad
Procurement
Inventory
Pipeline
Missiles
Transportation Scheduling
Inventory Control
Stock Levels
Failure Analysis
Provisioning Status
Electronic Data Processing
- published: 06 Jan 2016
- views: 413
Big Data - processing log files with BigInsights Text Analytics
- Order: Reorder
- Duration: 25:54
- Updated: 06 Mar 2012
- views: 4048
http://www.ibm.com/software/data/bigdata/
Gary Robinson- a member of the Big Data Enablement team - shows us how log files can be processed with BigInsights Tex...
http://www.ibm.com/software/data/bigdata/
Gary Robinson- a member of the Big Data Enablement team - shows us how log files can be processed with BigInsights Text Analytics, providing a more robust and scalable solution than custom code.
Video produced, directed and edited by Gary Robinson, contact robinsg at us.ibm.com
Music Track title: Clouds, composer: Dmitriy Lukyanov, publisher:Shockwave-Sound.Com
Royalty Free
wn.com/Big Data Processing Log Files With Biginsights Text Analytics
http://www.ibm.com/software/data/bigdata/
Gary Robinson- a member of the Big Data Enablement team - shows us how log files can be processed with BigInsights Text Analytics, providing a more robust and scalable solution than custom code.
Video produced, directed and edited by Gary Robinson, contact robinsg at us.ibm.com
Music Track title: Clouds, composer: Dmitriy Lukyanov, publisher:Shockwave-Sound.Com
Royalty Free
- published: 06 Mar 2012
- views: 4048
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34:47
DATA PROCESSING SYSTEMS
published: 23 Jan 2014
DATA PROCESSING SYSTEMS
DATA PROCESSING SYSTEMS
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- published: 23 Jan 2014
- views: 4112
13:43
Processing Data in Excel
A video on how to take scientific data and process it in Microsoft Excel.
published: 27 Nov 2014
Processing Data in Excel
Processing Data in Excel
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- published: 27 Nov 2014
- views: 955
3:59
Data Processing
Tutorial on data processing including information on CASS Certification, NCOA, and dedupin...
published: 18 Apr 2009
Data Processing
Data Processing
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- published: 18 Apr 2009
- views: 6388
49:36
Dataflow: A Unified Model for Batch and Streaming Data Processing
Unbounded, unordered, global-scale datasets are increasingly common in day-to-day business...
published: 15 Sep 2015
Dataflow: A Unified Model for Batch and Streaming Data Processing
Dataflow: A Unified Model for Batch and Streaming Data Processing
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- published: 15 Sep 2015
- views: 8412
3:48
Video 2 What is Data Processing
Learn the Secret to Data Processing System.
published: 03 Nov 2014
Video 2 What is Data Processing
Video 2 What is Data Processing
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- published: 03 Nov 2014
- views: 492
73:08
Lecture - Data Processing
published: 08 Feb 2013
Lecture - Data Processing
Lecture - Data Processing
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- published: 08 Feb 2013
- views: 3367
31:30
Data Processing & Machine Learning with Python - PyCon SE 2015
Ahmed Kachkach
This talk gives a quick overview of Python's capabilities as a data-proces...
published: 25 May 2015
Data Processing & Machine Learning with Python - PyCon SE 2015
Data Processing & Machine Learning with Python - PyCon SE 2015
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- published: 25 May 2015
- views: 1540
2:55
JHawk Group: Electronic Data Processing Demo
JHawk Group specializes in Electronic Data Processing Solutions, Project Management and Cl...
published: 15 Jun 2012
JHawk Group: Electronic Data Processing Demo
JHawk Group: Electronic Data Processing Demo
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- published: 15 Jun 2012
- views: 1188
1:52
Computer and Data Processing Job Description
Computer and Data Processing Job Description
published: 27 Mar 2007
Computer and Data Processing Job Description
Computer and Data Processing Job Description
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- published: 27 Mar 2007
- views: 2753
81:53
Large Data in MATLAB A Seismic Data Processing Case Study
published: 14 Jun 2015
Large Data in MATLAB A Seismic Data Processing Case Study
Large Data in MATLAB A Seismic Data Processing Case Study
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- published: 14 Jun 2015
- views: 1311
100:22
Data Processing with Python, SciPy2013 Tutorial, Part 1 of 3
Presenters: Ben Zaitlen, Clayton Davis
Description
This tutorial is a crash course in da...
published: 27 Jun 2013
Data Processing with Python, SciPy2013 Tutorial, Part 1 of 3
Data Processing with Python, SciPy2013 Tutorial, Part 1 of 3
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- published: 27 Jun 2013
- views: 9395
77:15
UAV Data Processing in Global Mapper
The dramatic increase in the commercial application of Unmanned Aerial Vehicles (UAV) has ...
published: 17 Aug 2015
UAV Data Processing in Global Mapper
UAV Data Processing in Global Mapper
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- published: 17 Aug 2015
- views: 1312
48:58
Geophysics Seismic Processing Basic
Geophysics Seismic Processing Basic Theory
/ seismic acquisition and data processing...
published: 22 May 2015
Geophysics Seismic Processing Basic
Geophysics Seismic Processing Basic
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- published: 22 May 2015
- views: 8980
12:27
SAP D&T; Academy - Data Services - How to use Text Data Processing
This video will walk you step-by-step through the process to use Text Data Processing, so ...
published: 10 Oct 2012
SAP D&T; Academy - Data Services - How to use Text Data Processing
SAP D&T; Academy - Data Services - How to use Text Data Processing
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- published: 10 Oct 2012
- views: 3467
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26:27
Brian Nelson Behind Bitcoin How Block Chain Technology Might Unlock Solutions Across Industries
In this session, Brian Nelson, Sig3, will explore the verification technology behind bitco...
published: 29 Mar 2016
Brian Nelson Behind Bitcoin How Block Chain Technology Might Unlock Solutions Across Industries
Brian Nelson Behind Bitcoin How Block Chain Technology Might Unlock Solutions Across Industries
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- published: 29 Mar 2016
- views: 2
1:05
SpoolWare - Quick View
Fully customizable automation and data processing mechanism.
published: 29 Mar 2016
SpoolWare - Quick View
SpoolWare - Quick View
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- published: 29 Mar 2016
- views: 5
7:04
Fast Big Data Processing with Spark Training Pune
Fast Big Data Processing with Spark Training Pune http://www.hadooptrainingchennai.in/fast...
published: 29 Mar 2016
Fast Big Data Processing with Spark Training Pune
Fast Big Data Processing with Spark Training Pune
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- published: 29 Mar 2016
- views: 0
7:04
Fast Big Data Processing with Spark Training Mumbai
Fast Big Data Processing with Spark Training Mumbai http://www.hadooptrainingchennai.in/fa...
published: 29 Mar 2016
Fast Big Data Processing with Spark Training Mumbai
Fast Big Data Processing with Spark Training Mumbai
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- published: 29 Mar 2016
- views: 0
7:04
Fast Big Data Processing with Spark Training Hyderabad
Fast Big Data Processing with Spark Training Hyderabad http://www.hadooptrainingchennai.in...
published: 29 Mar 2016
Fast Big Data Processing with Spark Training Hyderabad
Fast Big Data Processing with Spark Training Hyderabad
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- published: 29 Mar 2016
- views: 0
7:05
Fast Big Data Processing with Spark Training Chennai
Fast Big Data Processing with Spark Training Chennai http://www.hadooptrainingchennai.in/f...
published: 29 Mar 2016
Fast Big Data Processing with Spark Training Chennai
Fast Big Data Processing with Spark Training Chennai
- Report rights infringement
- published: 29 Mar 2016
- views: 0
7:05
Fast Big Data Processing with Spark Training Bangalore
Fast Big Data Processing with Spark Training Bangalore http://www.hadooptrainingchennai.in...
published: 29 Mar 2016
Fast Big Data Processing with Spark Training Bangalore
Fast Big Data Processing with Spark Training Bangalore
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- published: 29 Mar 2016
- views: 0
6:24
Adventures in Discovery: Is the ediscovery data processing done yet?
In the first episode of Adventures of Discovery, Ben and Erin struggle with the processing...
published: 28 Mar 2016
Adventures in Discovery: Is the ediscovery data processing done yet?
Adventures in Discovery: Is the ediscovery data processing done yet?
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- published: 28 Mar 2016
- views: 2
66:47
Remi Gribonval - Projections, Learning, and Sparsity for Efficient Data Processing
The talk will discuss recent generalizations of sparse recovery guarantees and c...
published: 28 Mar 2016
Remi Gribonval - Projections, Learning, and Sparsity for Efficient Data Processing
Remi Gribonval - Projections, Learning, and Sparsity for Efficient Data Processing
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- published: 28 Mar 2016
- views: 1
2:17
How to Apply for a Costa Rica Gambling License - Info@empire.legal
A Costa Rica Gambling License has become one of the best low cost gaming license options i...
published: 28 Mar 2016
How to Apply for a Costa Rica Gambling License - Info@empire.legal
How to Apply for a Costa Rica Gambling License - Info@empire.legal
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- published: 28 Mar 2016
- views: 10
0:14
Fast Big Data Processing with Spark Training Online BigDataTraining.IN
Fast Big Data Processing with Spark Training Online BigDataTraining.IN http://www.hadooptr...
published: 26 Mar 2016
Fast Big Data Processing with Spark Training Online BigDataTraining.IN
Fast Big Data Processing with Spark Training Online BigDataTraining.IN
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- published: 26 Mar 2016
- views: 0
0:18
fAST bIG dATA pROCESSING WITH sPARK tRAINING oNLINE bIGdATAtRAINING.in
Fast Big Data Processing with Spark Training Online BigDataTraining.IN http://www.hadooptr...
published: 26 Mar 2016
fAST bIG dATA pROCESSING WITH sPARK tRAINING oNLINE bIGdATAtRAINING.in
fAST bIG dATA pROCESSING WITH sPARK tRAINING oNLINE bIGdATAtRAINING.in
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- published: 26 Mar 2016
- views: 0
0:20
Fast Big Data Processing with Spark Training Online BigDataTraining.IN
Fast Big Data Processing with Spark Training Online BigDataTraining.IN http://www.hadooptr...
published: 25 Mar 2016
Fast Big Data Processing with Spark Training Online BigDataTraining.IN
Fast Big Data Processing with Spark Training Online BigDataTraining.IN
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- published: 25 Mar 2016
- views: 0
49:23
Blender Bezier Curve Animation and importing Curve animation data into Processing (language)
Extends from a previous tutorial of a similar type (non animation). Using Blender as a Be...
published: 26 Mar 2016
Blender Bezier Curve Animation and importing Curve animation data into Processing (language)
Blender Bezier Curve Animation and importing Curve animation data into Processing (language)
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- published: 26 Mar 2016
- views: 0
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31:41
Student Seminar 03/11/14 - Big Data Processing
by Lukas Rupprecht
published: 07 Nov 2014
Student Seminar 03/11/14 - Big Data Processing
Student Seminar 03/11/14 - Big Data Processing
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- published: 07 Nov 2014
- views: 563
35:20
Python and Data Processing and Visualization
Eric Pershey
http://www.pyvideo.org/video/3537/python-and-data-processing-and-visualizatio...
published: 30 May 2015
Python and Data Processing and Visualization
Python and Data Processing and Visualization
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- published: 30 May 2015
- views: 852
49:42
Data Processing at the LHC
Google Tech Talk
February 8, 2011
Presented by Bob Jones, CERN IT Department, IT EU Pr...
published: 15 Feb 2011
Data Processing at the LHC
Data Processing at the LHC
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- published: 15 Feb 2011
- views: 10240
37:22
Spark Summit 2013 - Real-time big data processing with Spark Streaming - Tathagata Das
published: 12 Dec 2013
Spark Summit 2013 - Real-time big data processing with Spark Streaming - Tathagata Das
Spark Summit 2013 - Real-time big data processing with Spark Streaming - Tathagata Das
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- published: 12 Dec 2013
- views: 7881
27:45
MapReduce: Simplified Data Processing on Large Clusters, presented by Jon Tedesco
Student summary presentation of the original MapReduce paper from OSDI '04 for CS 598 : Cl...
published: 30 Jan 2012
MapReduce: Simplified Data Processing on Large Clusters, presented by Jon Tedesco
MapReduce: Simplified Data Processing on Large Clusters, presented by Jon Tedesco
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- published: 30 Jan 2012
- views: 2397
47:06
Lecture 8: Principles of data processing with XDS
Presenter: Kay Diederichs, University of Konstanz, Germany
Topic: Principles of data pr...
published: 22 Sep 2014
Lecture 8: Principles of data processing with XDS
Lecture 8: Principles of data processing with XDS
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- published: 22 Sep 2014
- views: 702
40:31
Distributed data processing using Spark in Radio Astronomy
published: 29 Oct 2015
Distributed data processing using Spark in Radio Astronomy
Distributed data processing using Spark in Radio Astronomy
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- published: 29 Oct 2015
- views: 258
21:42
Best Practices in Data Processing and Analysis to Achieve High-Quality SPR Results
For more information, visit http://www.bio-rad.com/yt/4/proteonwebinar
This webinar focuse...
published: 18 Oct 2012
Best Practices in Data Processing and Analysis to Achieve High-Quality SPR Results
Best Practices in Data Processing and Analysis to Achieve High-Quality SPR Results
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- published: 18 Oct 2012
- views: 844
20:26
IBM 705 Mainframe Computer - 1957 - 1960's era Data Processing machines - USAF Military Punch Card
This public domain film provides a good depiction of a 1957-1960's era data processing ins...
published: 06 Jan 2016
IBM 705 Mainframe Computer - 1957 - 1960's era Data Processing machines - USAF Military Punch Card
IBM 705 Mainframe Computer - 1957 - 1960's era Data Processing machines - USAF Military Punch Card
- Report rights infringement
- published: 06 Jan 2016
- views: 413
25:54
Big Data - processing log files with BigInsights Text Analytics
http://www.ibm.com/software/data/bigdata/
Gary Robinson- a member of the Big Data Enableme...
published: 06 Mar 2012
Big Data - processing log files with BigInsights Text Analytics
Big Data - processing log files with BigInsights Text Analytics
- Report rights infringement
- published: 06 Mar 2012
- views: 4048
Student Seminar 03/11/14 - Big Data Processing...
Python and Data Processing and Visualization...
Data Processing at the LHC...
Spark Summit 2013 - Real-time big data processing ...
MapReduce: Simplified Data Processing on Large Clu...
Lecture 8: Principles of data processing with XDS...
Distributed data processing using Spark in Radio A...
Best Practices in Data Processing and Analysis to ...
IBM 705 Mainframe Computer - 1957 - 1960's era Dat...
Big Data - processing log files with BigInsights T...
photo: WN / Aruna Mirasdar
Porn and the Threat to Virility
Edit Time Magazine 31 Mar 2016
In February, these issues led British Prime Minister David Cameron’s government, which had previously asked Internet service providers to filter adult content unless a user opted in, to begin the process of requiring porn sites to verify the age of their users or face a fine ... It doesn’t even factor into the decisionmaking process.” ......
photo: Twitter
Kim Kardashian, Emily Ratajkowski post topless bathroom pic
Edit New York Daily News 30 Mar 2016
Kim Kardashian has added a friend to her set of scandalous selfies ... ....
photo: WN / Ahmed Deeb
Archaeologists Find Rare Etruscan Stone From 2,500 years Ago in Florence
Edit WorldNews.com 30 Mar 2016
Archaeologists have unearthed a massive stone tablet outside of Florence they believe will lead to a greater understanding of the ancient Etruscan civilization, an advanced civilization whose cities ranged up and down the west coast of Italy between 2800 and 2400 years ago, an Ars Technica report said Wednesday ... The 500-lb. stone is 4 feet high, called a stele, contains 70 legible letters and punctuation marks....
photo: AP / Bikas Das
At least 14 killed, 70 injured as flyover collapses in Kolkata, India
Edit Dawn 31 Mar 2016
KOLKATA. At least 14 people were killed and dozens more injured when a flyover collapsed in Kolkata on Thursday, an official said, as emergency workers battled to rescue people trapped under the rubble. The flyover was under construction when it collapsed onto a crowded street around lunchtime, crushing pedestrians, cars and other vehicles under concrete slabs and metal. "Fourteen people are confirmed dead ... "Monumental tragedy ... ....
photo: WN / Aruna Mirasdar
Test Your News Knowledge With WN.com's March News Quiz
Edit WorldNews.com 31 Mar 2016
The month of March came in like a lion and went out like a lamb. Over the course of the month, WN.com readers have read about terrorist attacks, learned about new species of dinosaurs and shared (in some cases) more than they ever wanted to know or see of certain celebrities. There’s also been crime, entertainment and UFO conspiracy theories abound ... View Survey....
« back to news headlines
If it’s not documented, did it happen? (Appian Corporation)
Edit Public Technologies 31 Mar 2016
The marrying of data and process, in a way that permits an organization to log these activities and document the steps and actions 'in flight' is what Business Process Management does so beautifully and seamlessly. Moreover, Appian has developed and perfected the utilization of what we call 'records.' Appian Records converge all process and data from across the organization on a single topic....
Data laws ‘encouraging compliance mentality’
Edit The Irish Times 31 Mar 2016
He was delivering a lecture entitled Data Ethics ... Remarking that data was the “raw material” fuelling the monetisation process, he said this “engine” was about to get a massive boost in input and power through the Internet of Things ... “So I think it’s important for us to be at the forefront of alerting people to the new concerns that they should know about, and about what we can do just by processing the data.”....
KBA Service Complete will be offering first insights into full closed-loop solutions at drupa (KBA - Koenig & Bauer AG)
Edit Public Technologies 31 Mar 2016
Under the umbrella brand KBA 4.0, KBA-Sheetfed Solutions is utilising digital transformation for data-based business models in customer service (see also our press release of 1st March 2016) ... Presses configure themselves on the basis of the supplied data, change automatically from one job to the next, and relieve the operator of routine tasks ... Intelligent, high-performance motor for all business processes....
Rate Reset Partners with OnApproach to Bring Loan Acquisitions and Retention Software to Credit Unions (MD|DC Credit Union Association)
Edit Public Technologies 31 Mar 2016
'By combining OnApproach's knowledge and expertise in leveraging big data and analytics to improve business performance and processing with Rate Reset's innovative digital member solutions, we can redefine the loan financing process.'. OnApproach is developing a collaborative ecosystem that enables application partners to develop using APIs to OnApproach's robust data model, OnApproach M360 Enterprise....
GFT expands its commitment to Switzerland (GFT Technologies AG)
Edit Public Technologies 31 Mar 2016
Banks and insurance companies that process their customer management via a central data hub can therefore learn early on, for example, when their customer is planning a sizeable purchase or investment ... that are integrated into automated processes which operate on data that only a comprehensive and intelligent analysis platform can deliver....
Launch of the “Family 500+” programme in Bank Millennium on 1 April (Bank Millennium SA)
Edit Public Technologies 31 Mar 2016
It is these local offices in the customer-parent's neighbourhood that will process the application and will send a written decision to the application within 3 months from the application date ... The remaining processing of the application will be done by the Local Authorities, which will inform customers about granting the benefit or the need to provide additional data....
Pioneering Automated and Autonomous Driving: Continental Accepts the Challenges (Continental AG)
Edit Public Technologies 31 Mar 2016
For sensor fusion, and ultimately for evaluating the sensor data, Continental is researching the use of artificial intelligence and bringing its broad knowledge of sensor technology and electronic control units to the development process ... System architecture.Future system architectures for automated driving will have to securely manage the huge amount of data that is to be processed in the car....
WSU joins CSIRO in EMU egg hunt (University of Western Sydney)
Edit Public Technologies 31 Mar 2016
At the moment, the infrastructure is in place for users to start processing the data to check whether their software has 'learnt' to find these hidden bits of unexpected discoveries - while they may be a little late for this Easter who knows what might be found by Easter 2017? ... astronomy community's vast amounts of astronomic data in the cloud....
FBI may not have to disclose how it unlocked San Bernardino shooter’s iPhone
Edit Venture Beat 31 Mar 2016
vulnerabilities equities process, the government is supposed to err in favor of disclosing security issues so companies can devise fixes to protect data ... But the Federal Bureau of Investigation, which has been frustrated by its inability to access data on encrypted phones belonging to criminal suspects, might prefer to keep secret the technique it used to gain access to gunman Syed Farook’s phone....
FBI Might Withhold Secret Method Of Unlocking iPhone From Apple
Edit Huffington Post 31 Mar 2016
vulnerabilities equities process, the government is supposed to err in favor of disclosing security issues so companies can devise fixes to protect data ... But the Federal Bureau of Investigation, which has been frustrated by its inability to access data on encrypted phones belonging to criminal suspects, might prefer to keep secret the technique it used to gain access to gunman Syed Farook's phone....
UCITS Infringement reporting form template (ESMA - European Securities and Markets Authority)
Edit Public Technologies 31 Mar 2016
Any personal data processed in this report form will be handled in compliance with the rules on data protection in Regulation (EC) No 45/2001. The processing of the personal data is performed on the basis of Article 5 (a) of Regulation (EC) No 45/2001, and ESMA is the data controller. For any information on the processing of your personal data please contact the Data Protection Officer (dpo@esma.europa.eu)....
PhD lecture by Peng Wang (Aalborg Universitet)
Edit Public Technologies 31 Mar 2016
In practice most polymer foams display both heterogeneous and anisotropic material behaviour due to the density variations and directionality of foam cells developed during the manufacturing process ... Subsequent to this, the entire measurement and data processing procedure was simulated by processing the synthetic images using DIC and VFM algorithms ... the geometric test configuration, the parameters of the DIC process and the noise....
Barracuda Increases Presence in Enterprise eSignature Market, Launches CudaSign Enterprise (Barracuda Networks Inc)
Edit Public Technologies 31 Mar 2016
These reports are intended to validate the data security controls of a services organization ... CudaSign Enterprise enables organizations to add eSignatures to existing workflows via integrations with leading business applications, including the ability to update Salesforce records with data from signing processes, new Salesforce1/Lightning support, and improvements to Drawloop, Microsoft Office 365, SharePoint, Zapier, and more....
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