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MapReduce is a programming model for processing large data sets, and the name of an implementation of the model by Google. MapReduce is typically used to do distributed computing on clusters of computers.
The model is inspired by the map and reduce functions commonly used in functional programming, although their purpose in the MapReduce framework is not the same as their original forms.
MapReduce libraries have been written in many programming languages. A popular free implementation is Apache Hadoop.
MapReduce is a framework for processing embarrassingly parallel problems across huge datasets using a large number of computers (nodes), collectively referred to as a cluster (if all nodes are on the same local network and use similar hardware) or a grid (if the nodes are shared across geographically and administratively distributed systems, and use more heterogenous hardware). Computational processing can occur on data stored either in a filesystem (unstructured) or in a database (structured).
This page contains text from Wikipedia, the Free Encyclopedia -
http://en.wikipedia.org/wiki/MapReduce
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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MapReduce Flow Chart
MapReduce Flow Chart -
Learn MapReduce with Playing Cards
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- CODASYL
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- Curt Monash
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This is the class room training videos for Hadoop in DurgaSoftware solutions. -
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MapReduce Flow Chart
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- Duration: 55:24
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This is the class room training videos for Hadoop in DurgaSoftware solutions....
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- published: 20 May 2014
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- author: Durga Software Solutions
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- Duration: 32:04
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Mod 1 of 5 part course on MapReduce....
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wn.com/Hadoop Mapreduce Fundamentals 1 Of 5
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wn.com/Hadoop Mapreduce Fundamentals 2 Of 5
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- Duration: 2:39
- Updated: 12 Aug 2014
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- author: IBM Big Data & Analytics
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Watch Sample Class Recording:
http://www.edureka.co/big-data-and-hadoop?utm_source=youtube&utm;_medium=referral&utm;_campaign=intro-to-mapreduce
MapReduce is a s...
Watch Sample Class Recording:
http://www.edureka.co/big-data-and-hadoop?utm_source=youtube&utm;_medium=referral&utm;_campaign=intro-to-mapreduce
MapReduce is a software framework that allows developers to write programs that process massive amounts of unstructured data in parallel across a distributed cluster of processors or stand-alone computers.
The Topics covered in the video are:
1.Basics of MapReduce
2. Types and Formats of MapReduce
3. Where is MapReduce used
4. Traditional and MapReduce way of solving a problem
5.Anatomy of a MapReduce program
6.Hadoop Streaming
7.Combiner and Partioner
8.MapReduce Data Flow
9.Input Splits
10.Input/Output Formats
Related Blog Posts:
http://www.edureka.co/blog/apache-hadoop-2-0-and-yarn/?utm_source=youtube&utm;_medium=referral&utm;_campaign=intro-to-mapreduce
http://www.edureka.co/blog/introduction-to-big-data-n-hadoop/?utm_source=youtube&utm;_medium=referral&utm;_campaign=intro-to-mapreduce
Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world.
All topics related to ‘Introduction to MapReduce’ have extensively been covered in our course ‘Big Data and Hadoop’.
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/Introduction To Mapreduce | Mapreduce Programming Tutorial
Watch Sample Class Recording:
http://www.edureka.co/big-data-and-hadoop?utm_source=youtube&utm;_medium=referral&utm;_campaign=intro-to-mapreduce
MapReduce is a software framework that allows developers to write programs that process massive amounts of unstructured data in parallel across a distributed cluster of processors or stand-alone computers.
The Topics covered in the video are:
1.Basics of MapReduce
2. Types and Formats of MapReduce
3. Where is MapReduce used
4. Traditional and MapReduce way of solving a problem
5.Anatomy of a MapReduce program
6.Hadoop Streaming
7.Combiner and Partioner
8.MapReduce Data Flow
9.Input Splits
10.Input/Output Formats
Related Blog Posts:
http://www.edureka.co/blog/apache-hadoop-2-0-and-yarn/?utm_source=youtube&utm;_medium=referral&utm;_campaign=intro-to-mapreduce
http://www.edureka.co/blog/introduction-to-big-data-n-hadoop/?utm_source=youtube&utm;_medium=referral&utm;_campaign=intro-to-mapreduce
Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world.
All topics related to ‘Introduction to MapReduce’ have extensively been covered in our course ‘Big Data and Hadoop’.
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: 30 Sep 2014
- views: 284
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- Order: Reorder
- Duration: 46:17
- Updated: 01 Sep 2014
- views: 183658
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wn.com/Cluster Computing And Mapreduce Lecture 1
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- views: 24374
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- Updated: 04 Sep 2014
- views: 73146
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Hadoop heart is MapReduce i given deep knowledge abou the Hadoop Hadoop MapReduce suman tutorial PART 1....
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- Order: Reorder
- Duration: 47:08
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Introduction to Amazon Elastic MapReduce
- Order: Reorder
- Duration: 10:27
- Updated: 26 Aug 2014
- views: 2519
- author: Amazon Web Services
This video teaches you about Amazon Elastic MapReduce and walks you through how to launch an Amazon EMR cluster using the AWS Management Console....
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wn.com/Introduction To Amazon Elastic Mapreduce
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- published: 12 May 2014
- views: 2519
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CS 61A Lecture 34: Mapreduce I
- Order: Reorder
- Duration: 49:02
- Updated: 12 Aug 2014
- views: 40106
- author: UCBerkeley
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wn.com/Cs 61A Lecture 34 Mapreduce I
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- published: 31 Jul 2008
- views: 40106
- author: UCBerkeley
Google Technology RoundTable: Map Reduce
- Order: Reorder
- Duration: 25:28
- Updated: 23 Aug 2014
- views: 42684
- author: Life at Google
Meet four of Google's Map Reduce expert engineers, Google Fellow Sanjay Ghemawat, Google Fellow Jeff Dean, Software Engineer Jerry Zhao and Software Engineer......
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wn.com/Google Technology Roundtable Map Reduce
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- published: 21 Aug 2008
- views: 42684
- author: Life at Google
Understanding the Basics of Mapreduce | Comprehensive Mapreduce Tutorial | Mapreduce Tutorial
- Order: Reorder
- Duration: 39:37
- Updated: 11 Apr 2015
- views: 235
Watch Sample Class recording: http://www.edureka.co/comprehensive-mapreduce?utm_source=youtube&utm;_medium=referral&utm;_campaign=com-mapr-basics
MapReduce is th...
Watch Sample Class recording: http://www.edureka.co/comprehensive-mapreduce?utm_source=youtube&utm;_medium=referral&utm;_campaign=com-mapr-basics
MapReduce is the underlying engine of Hadoop. Comprehensive MapReduce course is designed for the learners to understand and implement various frameworks of MapReduce. The topics are explained using dedicated examples.
Objectives:
1. Master the concepts of MapReduce framework.
2. Learn to write Complex MapReduce programs.
3. Program in YARN.
4. Program in MapReduce.
Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would
prefer a hassle free and self paced learning environment, accessible from any part of the world.
The topics related to Advanced concepts Mapreduce have extensively been covered in our course 'Comprehensive MapReduce'
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/Understanding The Basics Of Mapreduce | Comprehensive Mapreduce Tutorial | Mapreduce Tutorial
Watch Sample Class recording: http://www.edureka.co/comprehensive-mapreduce?utm_source=youtube&utm;_medium=referral&utm;_campaign=com-mapr-basics
MapReduce is the underlying engine of Hadoop. Comprehensive MapReduce course is designed for the learners to understand and implement various frameworks of MapReduce. The topics are explained using dedicated examples.
Objectives:
1. Master the concepts of MapReduce framework.
2. Learn to write Complex MapReduce programs.
3. Program in YARN.
4. Program in MapReduce.
Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would
prefer a hassle free and self paced learning environment, accessible from any part of the world.
The topics related to Advanced concepts Mapreduce have extensively been covered in our course 'Comprehensive MapReduce'
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: 11 Apr 2015
- views: 235
Joins in Hadoop Mapreduce | Mapside Joins | Reduce Side Joins | Hadoop Mapreduce Tutorial
- Order: Reorder
- Duration: 49:55
- Updated: 21 Feb 2015
- views: 30
Watch Sample Class Recording:
http://www.edureka.co/big-data-and-hadoop?utm_source=youtube&utm;_medium=referral&utm;_campaign=joins-hadoop
Big Data and Hadoop t...
Watch Sample Class Recording:
http://www.edureka.co/big-data-and-hadoop?utm_source=youtube&utm;_medium=referral&utm;_campaign=joins-hadoop
Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer.
In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, Map-Reduce,PIG,
HIVE, HBase, Zookeeper, SQOOP etc. will be covered in the course.
The Topics covered in the video are:
1.Joins: Map-side Vs. Reduce-side Joins
2.Map and reduce Side Joins
3.Demo using Mapside joins
4.Demo using reduce Side Joins
5.Advance MapReduce - Counters
6.Advance Mapreduce Concepts
Related Blog Posts:
http://www.edureka.co/blog/apache-hadoop-2-0-and-yarn/?utm_source=youtube&utm;_medium=referral&utm;_campaign=joins-hadoop
http://www.edureka.co/blog/introduction-to-big-data-n-hadoop/?utm_source=youtube&utm;_medium=referral&utm;_campaign=joins-hadoop
Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world.
All topics related to ‘Joins in Hadoop Mapreduce’ have extensively been covered in our course ‘Big Data and Hadoop’.
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/Joins In Hadoop Mapreduce | Mapside Joins | Reduce Side Joins | Hadoop Mapreduce Tutorial
Watch Sample Class Recording:
http://www.edureka.co/big-data-and-hadoop?utm_source=youtube&utm;_medium=referral&utm;_campaign=joins-hadoop
Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer.
In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, Map-Reduce,PIG,
HIVE, HBase, Zookeeper, SQOOP etc. will be covered in the course.
The Topics covered in the video are:
1.Joins: Map-side Vs. Reduce-side Joins
2.Map and reduce Side Joins
3.Demo using Mapside joins
4.Demo using reduce Side Joins
5.Advance MapReduce - Counters
6.Advance Mapreduce Concepts
Related Blog Posts:
http://www.edureka.co/blog/apache-hadoop-2-0-and-yarn/?utm_source=youtube&utm;_medium=referral&utm;_campaign=joins-hadoop
http://www.edureka.co/blog/introduction-to-big-data-n-hadoop/?utm_source=youtube&utm;_medium=referral&utm;_campaign=joins-hadoop
Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world.
All topics related to ‘Joins in Hadoop Mapreduce’ have extensively been covered in our course ‘Big Data and Hadoop’.
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: 21 Feb 2015
- views: 30
Running a Wordcount Mapreduce example in Hadoop 2.4.1 Single-node Cluster in Ubuntu 14.04 (64-bit)
- Order: Reorder
- Duration: 11:52
- Updated: 22 Oct 2014
- views: 2
Visit www.kishorer.in for more articles.
This post link - http://www.kishorer.in/2014/10/running-wordcount-mapreduce-example-in.html
In this video, I will show...
Visit www.kishorer.in for more articles.
This post link - http://www.kishorer.in/2014/10/running-wordcount-mapreduce-example-in.html
In this video, I will show you how to run a Wordcount Mapreduce example in Hadoop 2.4.1 Single-node Cluster in Ubuntu 14.04 (64-bit).
We use Eclipse IDE to create a JAR file and run the jar file using input file stored in HDFS (Hadoop File System).
The final result is the count of every word in the input text file.
wn.com/Running A Wordcount Mapreduce Example In Hadoop 2.4.1 Single Node Cluster In Ubuntu 14.04 (64 Bit)
Visit www.kishorer.in for more articles.
This post link - http://www.kishorer.in/2014/10/running-wordcount-mapreduce-example-in.html
In this video, I will show you how to run a Wordcount Mapreduce example in Hadoop 2.4.1 Single-node Cluster in Ubuntu 14.04 (64-bit).
We use Eclipse IDE to create a JAR file and run the jar file using input file stored in HDFS (Hadoop File System).
The final result is the count of every word in the input text file.
- published: 22 Oct 2014
- views: 2
Mapreduce wordcount program in hadoop(Compile & Run)
- Order: Reorder
- Duration: 18:27
- Updated: 23 Jun 2015
- views: 50
HELLO FRIENDS TODAY WE ARE GOING TO LEARN HOW TO COMPILE AND RUN MAPREDUCE WORDCOUNT PROGRAM (IN JAVA) IN HADOOP USING COMMAND LINE :-
WHAT IS WORDCOUNT PROGR...
HELLO FRIENDS TODAY WE ARE GOING TO LEARN HOW TO COMPILE AND RUN MAPREDUCE WORDCOUNT PROGRAM (IN JAVA) IN HADOOP USING COMMAND LINE :-
WHAT IS WORDCOUNT PROGRAM?
WORDCOUNT IS A SIMPLE APPLICATION THAT DETERMINES HOW MANY TIMES DIFFERENT WORDS APPEAR IN A GIVEN INPUT SET.
GOALS FOR THIS SESSION:
1. UNDERSTAND THE MAPREDUCE PROGRAM FLOW.
2. UNDERSTAND HOW TO WRITE PROGRAMS FOR HADOOP MAPREDUCE.
3. UPLOAD THE INPUT DATA TEXT FILE IN HDFS.
4. CREATE YOUR OWN JAR.
5. RUN A JAR ON HADOOP ARCHITECTURE.
6. VIEW AND DOWNLOAD OUTPUT FILE.
7. VIEW OUTPUT ON COMMAND LINE.
Install Hadoop in ubuntu (Single node cluster)
https://youtu.be/Nb1sinaTlmo
wn.com/Mapreduce Wordcount Program In Hadoop(Compile Run)
HELLO FRIENDS TODAY WE ARE GOING TO LEARN HOW TO COMPILE AND RUN MAPREDUCE WORDCOUNT PROGRAM (IN JAVA) IN HADOOP USING COMMAND LINE :-
WHAT IS WORDCOUNT PROGRAM?
WORDCOUNT IS A SIMPLE APPLICATION THAT DETERMINES HOW MANY TIMES DIFFERENT WORDS APPEAR IN A GIVEN INPUT SET.
GOALS FOR THIS SESSION:
1. UNDERSTAND THE MAPREDUCE PROGRAM FLOW.
2. UNDERSTAND HOW TO WRITE PROGRAMS FOR HADOOP MAPREDUCE.
3. UPLOAD THE INPUT DATA TEXT FILE IN HDFS.
4. CREATE YOUR OWN JAR.
5. RUN A JAR ON HADOOP ARCHITECTURE.
6. VIEW AND DOWNLOAD OUTPUT FILE.
7. VIEW OUTPUT ON COMMAND LINE.
Install Hadoop in ubuntu (Single node cluster)
https://youtu.be/Nb1sinaTlmo
- published: 23 Jun 2015
- views: 50
Hadoop MapReduce Example - How good are a city's farmer's markets?
- Order: Reorder
- Duration: 8:03
- Updated: 23 Aug 2014
- views: 35593
- author: Helen Zeng
A walkthrough of a Hadoop Map/Reduce program which collects information about farmer's markets in American cities, and outputs the number of farmer's markets......
A walkthrough of a Hadoop Map/Reduce program which collects information about farmer's markets in American cities, and outputs the number of farmer's markets...
wn.com/Hadoop Mapreduce Example How Good Are A City's Farmer's Markets
A walkthrough of a Hadoop Map/Reduce program which collects information about farmer's markets in American cities, and outputs the number of farmer's markets...
- published: 18 Apr 2012
- views: 35593
- author: Helen Zeng
Christopher Roach - MapReduce: 0-60 in 40 minutes
PyData SV 2014 TUTORIAL - In 2004, at the Sixth Symposium on Operating System Design and Implementation, Jeffrey Dean and Sanjay Ghemawat, a couple of engine......
PyData SV 2014 TUTORIAL - In 2004, at the Sixth Symposium on Operating System Design and Implementation, Jeffrey Dean and Sanjay Ghemawat, a couple of engine...
wn.com/Christopher Roach Mapreduce 0 60 In 40 Minutes
PyData SV 2014 TUTORIAL - In 2004, at the Sixth Symposium on Operating System Design and Implementation, Jeffrey Dean and Sanjay Ghemawat, a couple of engine...
- published: 11 Jun 2014
- views: 243
- author: PyData
Apache Spark vs. MapReduce #WhiteboardWalkthrough
- Order: Reorder
- Duration: 7:49
- Updated: 17 Jun 2015
- views: 267
In this week's Whiteboard Walkthrough, Anoop Dawar, Senior Product Director at MapR, shows you the basics of Apache Spark and how it is different from MapReduce...
In this week's Whiteboard Walkthrough, Anoop Dawar, Senior Product Director at MapR, shows you the basics of Apache Spark and how it is different from MapReduce.
Find more information on http://mapr.com/spark
Don't forget to subscribe and get the next Whiteboard Walkthrough: http://bit.ly/1IIJBbh
wn.com/Apache Spark Vs. Mapreduce Whiteboardwalkthrough
In this week's Whiteboard Walkthrough, Anoop Dawar, Senior Product Director at MapR, shows you the basics of Apache Spark and how it is different from MapReduce.
Find more information on http://mapr.com/spark
Don't forget to subscribe and get the next Whiteboard Walkthrough: http://bit.ly/1IIJBbh
- published: 17 Jun 2015
- views: 267
Hadoop Map Reduce Programming 101 - 02 Setup Hadoop Cloudera Quick Start VM
- Order: Reorder
- Duration: 17:34
- Updated: 09 Nov 2014
- views: 71
1) All you need is 64 bit laptop or computer with 8 GB RAM and 10 to 20 GB Hard disk
2) Download and install VM Software
3) Download Cloudera quick start vm ima...
1) All you need is 64 bit laptop or computer with 8 GB RAM and 10 to 20 GB Hard disk
2) Download and install VM Software
3) Download Cloudera quick start vm image for VM software downloaded in step 2
4) Double click vmx and change settings for your cloudera quickstart vm box to 8 GB RAM and 2 virtual cores if it permits
5) Once VM box is opened, you can launch firefox and enter url http://quickstart.cloudera:50070/dfshealth.html#tab-overview
6) Go to Datanodes and see whether every thing is normal
Connect with me or follow me at
https://www.linkedin.com/in/durga0gadiraju
https://www.facebook.com/durga.v.gadiraju
https://github.com/dgadiraju
https://www.youtube.com/c/TechnologyMentor
https://twitter.com/dgadiraju
wn.com/Hadoop Map Reduce Programming 101 02 Setup Hadoop Cloudera Quick Start Vm
1) All you need is 64 bit laptop or computer with 8 GB RAM and 10 to 20 GB Hard disk
2) Download and install VM Software
3) Download Cloudera quick start vm image for VM software downloaded in step 2
4) Double click vmx and change settings for your cloudera quickstart vm box to 8 GB RAM and 2 virtual cores if it permits
5) Once VM box is opened, you can launch firefox and enter url http://quickstart.cloudera:50070/dfshealth.html#tab-overview
6) Go to Datanodes and see whether every thing is normal
Connect with me or follow me at
https://www.linkedin.com/in/durga0gadiraju
https://www.facebook.com/durga.v.gadiraju
https://github.com/dgadiraju
https://www.youtube.com/c/TechnologyMentor
https://twitter.com/dgadiraju
- published: 09 Nov 2014
- views: 71
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55:24
MapReduce Flow Chart
This is the class room training videos for Hadoop in DurgaSoftware solutions....
published: 20 May 2014
author: Durga Software Solutions
MapReduce Flow Chart
MapReduce Flow Chart
- published: 20 May 2014
- views: 3415
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Durga Software Solutions
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9:44
Learn MapReduce with Playing Cards
The special extended preview of my new MapReduce screencast available for purchase at http...
published: 15 Aug 2013
author: Jesse Anderson
Learn MapReduce with Playing Cards
Learn MapReduce with Playing Cards
- published: 15 Aug 2013
- views: 9265
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Jesse Anderson
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32:04
Hadoop MapReduce Fundamentals 1 of 5
Mod 1 of 5 part course on MapReduce....
published: 18 May 2013
author: Lynn Langit
Hadoop MapReduce Fundamentals 1 of 5
Hadoop MapReduce Fundamentals 1 of 5
- published: 18 May 2013
- views: 60068
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Lynn Langit
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50:21
Hadoop MapReduce Fundamentals 2 of 5
Mod 2 of 5 part course on MapReduce. Here's a link to Cloudera's instructions on how to ei...
published: 18 May 2013
author: Lynn Langit
Hadoop MapReduce Fundamentals 2 of 5
Hadoop MapReduce Fundamentals 2 of 5
- published: 18 May 2013
- views: 27075
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author:
Lynn Langit
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2:39
What is MapReduce?
http://www.ibm.com/software/data/bigdata/ MapReduce defined in 3 minutes with Rafael Coss,...
published: 30 May 2012
author: IBM Big Data & Analytics
What is MapReduce?
What is MapReduce?
- published: 30 May 2012
- views: 26588
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author:
IBM Big Data & Analytics
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104:24
Introduction to MapReduce | MapReduce Programming Tutorial
Watch Sample Class Recording:
http://www.edureka.co/big-data-and-hadoop?utm_source=youtub...
published: 30 Sep 2014
Introduction to MapReduce | MapReduce Programming Tutorial
Introduction to MapReduce | MapReduce Programming Tutorial
- published: 30 Sep 2014
- views: 284
46:17
Cluster Computing and MapReduce Lecture 1
Lecture 1 in a five part series introducing mapreduce and cluster computing. See http://co...
published: 28 Aug 2007
author: Google Developers
Cluster Computing and MapReduce Lecture 1
Cluster Computing and MapReduce Lecture 1
- published: 28 Aug 2007
- views: 183658
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author:
Google Developers
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24:08
hadoop mapreduce
Visit : http://hadoop-lessons.blogspot.in/ More Tags : hadoop, hadoop tutorial, apache had...
published: 01 Sep 2014
author: Hadoop
hadoop mapreduce
hadoop mapreduce
- published: 01 Sep 2014
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Hadoop
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11:31
Introduction to MapReduce
Introduction to Apache Hadoop MapReduce by Arun C. Murthy, co-founder of Hortonworks and c...
published: 29 Jan 2013
author: Hortonworks
Introduction to MapReduce
Introduction to MapReduce
- published: 29 Jan 2013
- views: 24374
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author:
Hortonworks
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7:13
What is Big Data? Big Data Explained (Hadoop & MapReduce)
http://www.patrickschwerdtfeger.com/sbi/ What exactly is Big Data? This video defines and ...
published: 07 May 2013
author: Patrick Schwerdtfeger
What is Big Data? Big Data Explained (Hadoop & MapReduce)
What is Big Data? Big Data Explained (Hadoop & MapReduce)
- published: 07 May 2013
- views: 73146
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author:
Patrick Schwerdtfeger
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36:52
MapReduce(Hadoop ) program|End-to-End|Explanation suman tutorial|PART 1|
Hadoop heart is MapReduce i given deep knowledge abou the Hadoop Hadoop MapReduce suman tu...
published: 20 Feb 2014
author: suman page
MapReduce(Hadoop ) program|End-to-End|Explanation suman tutorial|PART 1|
MapReduce(Hadoop ) program|End-to-End|Explanation suman tutorial|PART 1|
- published: 20 Feb 2014
- views: 2924
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suman page
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47:08
YARN: Hadoop Beyond MapReduce
Andreas Neumann and Terence Yim of Continuuity present YARN, a new resource manager in Had...
published: 31 Jul 2013
author: NewCircle Training
YARN: Hadoop Beyond MapReduce
YARN: Hadoop Beyond MapReduce
- published: 31 Jul 2013
- views: 15897
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NewCircle Training
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10:27
Introduction to Amazon Elastic MapReduce
This video teaches you about Amazon Elastic MapReduce and walks you through how to launch ...
published: 12 May 2014
author: Amazon Web Services
Introduction to Amazon Elastic MapReduce
Introduction to Amazon Elastic MapReduce
- published: 12 May 2014
- views: 2519
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Amazon Web Services
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49:02
CS 61A Lecture 34: Mapreduce I
CS 61A The Structure and Interpretation of Computer Programs Instructor Brian Harvey Sprin...
published: 31 Jul 2008
author: UCBerkeley
CS 61A Lecture 34: Mapreduce I
CS 61A Lecture 34: Mapreduce I
- published: 31 Jul 2008
- views: 40106
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UCBerkeley
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MapReduce Flow Chart...
Learn MapReduce with Playing Cards...
Hadoop MapReduce Fundamentals 1 of 5...
Hadoop MapReduce Fundamentals 2 of 5...
What is MapReduce?...
Introduction to MapReduce | MapReduce Programming ...
Cluster Computing and MapReduce Lecture 1...
hadoop mapreduce...
Introduction to MapReduce...
What is Big Data? Big Data Explained (Hadoop & Map...
MapReduce(Hadoop ) program|End-to-End|Explanation ...
YARN: Hadoop Beyond MapReduce...
Introduction to Amazon Elastic MapReduce...
CS 61A Lecture 34: Mapreduce I...
Google Technology RoundTable: Map Reduce...
Understanding the Basics of Mapreduce | Comprehens...
Joins in Hadoop Mapreduce | Mapside Joins | Reduce...
Running a Wordcount Mapreduce example in Hadoop 2....
Mapreduce wordcount program in hadoop(Compile & Ru...
Hadoop MapReduce Example - How good are a city's f...
Christopher Roach - MapReduce: 0-60 in 40 minutes...
Apache Spark vs. MapReduce #WhiteboardWalkthrough...
Hadoop Map Reduce Programming 101 - 02 Setup Hadoo...
photo: UN / Kim Haughton
IS allegedly using lethal mustard gas in Syria or have a baby
Edit Minds 08 Nov 2015
Month, Maria town in northern Syria, the "Islamic State" armed attack artillery shells fell on the ground, suspected gas bombs. UN experts have identified the Prohibition of Chemical Weapons (OPCW) in the latest report, "non-state actors" in August this year, the use of mustard gas in Malia town north of Aleppo in Syria's second city ... "Probably one infant death." ... The report was dated October 29, he wrote ... " ... ■ Glossary. Mustard ... ....
photo: AP / Russian Ministry for Emergency Situations
Russia's Foreign Policy Just Crashed In Egypt's Sinai
Edit WorldNews.com 08 Nov 2015
Article by WN.com Correspondent Dallas Darling. The nomadic Bedouins of Egypt’s Sinai follow a strict proverb that says. “Me and my brother against our cousin ... From Kabul and the mountainous areas of Jalalabad to the fiercely independent regions in the Caucuses and Grozny, there are many graveyards filled with Russian perpetrators and victims ... In effect, Russia and other outside imperial powers had always been the stranger ... 14. ....
photo: US DoD / Air Force Senior Master Sgt. Adrian Cadiz
Russia is putting world peace at risk, says Pentagon chief Ash Carter
Edit The Guardian 08 Nov 2015
The Kremlin’s ‘challenging activities’ and nuclear sabre-rattling are ‘disturbing’, the defense secretary says, adding a warning about the rise of China. The US defense secretary, Ash Carter, has accused Russia of endangering world order and said the Pentagon was searching for creative ways to deter Kremlin aggression and protect its allies ... But he reserved his strongest words for Russia. Related ... “We do not seek to make Russia an enemy....
photo: Creative Commons / West Midlands Police
India sues the Queen for return of 'stolen' £100m Koh-i-Noor diamond
Edit The Independent 08 Nov 2015photo: mchs.gov.ru
Report: Black boxes show bomb brought down Russian jet
Edit CNN 07 Nov 2015
(CNN)Egyptian aviation officials plan to hold a news conference amid dueling theories on what caused a Russian passenger jet to crash in the Sinai region. In a tweet, the Egyptian Ministry of Foreign Affairs confirmed the media briefing planned for Saturday, but did not provide any more details ... Read More. Experts weigh in ... The key is what happened just before the data suddenly stops, he said ... heard it and they can identify it." ... 1 of 24 ... ....
« back to news headlines
Cask Announces $20 Million Series B Financing Led by Safeguard Scientifics Funds Will Support Sales Expansion and Product Enhancements of Big Data Application PlatformPhil Moyer of Safeguard and Frank Artale of Ignition Partners Join Cask's Board of Directors
Edit PR Newswire 05 Nov 2015
PALO ALTO, Calif. and RADNOR, Pa., Nov ... (NYSE. SFE) with participation from Battery Ventures, Ignition Partners and other existing investors ... "Because our platform can layer on top of any distribution, instantly integrate with new and existing data stores, and easily support both Spark or MapReduce, it delivers real value for enterprises in a data-heavy environment, slashing development and deployment timelines ... About Cask ... (NYSE ... ....
Hortonworks Reports Financial Results for Third Quarter 2015
Edit PR Newswire 04 Nov 2015
, Nov. 4, 2015 /PRNewswire/ -- Hortonworks, Inc.® (NASDAQ ... Third quarter 2015 financial highlights. Revenue ... Gross Billings ... Gross Profit ... Operating Loss ... ODPi ... Originally launched as the Open Data Platform (ODP) in February 2015, membership investments have nearly doubled since then as the Hadoop community rallies around the ODPi Core which currently consists of Apache Hadoop (inclusive of HDFS, YARN and MapReduce) and Apache Ambari ... $....
Three Factors Helped Ensure Success of HomeAway’s Big Data Initiative (Hortonworks Inc)
Edit Public Technologies 29 Oct 2015
(Source. Hortonworks Inc). Our guest blogger is Bob Taylor, Alliances Director at Concurrent, a Hortonworks Technology Partner. In this blog, Bob describes three factors that helped in the success of HomeAway in their big data initiative and are applicable to all projects ... 10 ... REGISTER NOW ... 1 ... and resource intensive ... 2 ... There are still a lot of Pig, Hive and MapReduce jobs being developed directly in Hadoop and this does require new skills ... 3....
Is a Lake Big Enough to House Your Ocean of Data? (Hortonworks Inc)
Edit Public Technologies 20 Oct 2015
... technologies are still nascent even among early adopters, who are mostly conversant with SQL for data discovery and require training in Pig and MapReduce for data access ... Related big data technologies such as Pig, MapReduce and Impala allow users to query a Hadoop cluster through SQL but they involve a steep learning curve and extensive training....
It’s Out There forthe Taking; Time to Saddle Up and Grab Your Data by the ...
Edit Public Technologies 19 Oct 2015
(Source. Liaison Technologies Inc) We've all heard by now that the amount of digital data generated is growing at an insanely fast pace. Some mind-blowing statistics given over the past five years include ... The most obvious question is how to efficiently process all this data, and it spurs a lot of talk around exciting Big Data technologies such as Hadoop, MapReduce, or non-relational databases ... Giddyup! ... distributed by ... (noodl. 30394145) ....
Big Data News from Strata + Hadoop World NYC (World Wide Technology Inc)
Edit Public Technologies 16 Oct 2015
(Source. World Wide Technology Inc). This year, Strata + Hadoop World 2015 saw record attendance in New York City, and among the participants was WWT's Big Data team ... Conference updates. ... Traditional big data interrogation requires knowledge of HDFS management tools ('distros') provided by Hortonworks, Cloudera, MapR or Pivotal as well as familiarity with programming languages such as MapReduce, R, Python, Scala or Hive ... distributed by....
ScaleOut Software Positioned as a Strong Performer of In-Memory Data Grids by Major Independent Research Firm ScaleOut StateServer® In-Memory Data Grid Noted as "Pleasurably Easy to Implement"
Edit PR Newswire 13 Oct 2015
BELLEVUE, Wash., Oct. 13, 2015 /PRNewswire/ -- ScaleOut Software, a leading provider of in-memory computing software, today announced its ScaleOut StateServer® solution was recognized as a strong performer in The Forrester Wave™. In-Memory Data Grids, Q3 2015 report ... The authors of the report also stated "ScaleOut Software also distinguishes itself by providing a MapReduce framework for the grid." ... Forrester Wave™ ... ....
Tableau Expands Analytics in the Cloud with AWS (Tableau Software Inc)
Edit Public Technologies 05 Oct 2015
(Source. Tableau Software Inc). Today, at AWS re.Invent, Tableau, a global leader in rapid-fire, easy-to-use business analytics software, announced new integrations with Amazon Web Services (AWS), designed to provide expanded choice for customers as they adopt cloud analytics solutions ... Tableau also includes direct connectors for Amazon Redshift and Amazon Elastic MapReduce (Amazon EMR) ... About Tableau. Tableau Software (NYSE ... (noodl....
Tableau Expands Analytics in the Cloud with AWS New data connector for Amazon Aurora and an AWS Marketplace offering provide joint Tableau and AWS customers expanded analytics
Edit PR Newswire 05 Oct 2015
SEATTLE, Oct ... Tableau also includes direct connectors for Amazon Redshift and Amazon Elastic MapReduce (Amazon EMR). Additionally, Tableau connects to the Amazon Relational Database Service (Amazon RDS), which gives customers access to the capabilities of MySQL, Microsoft SQL Server, or PostgreSQL relational database management systems running in the AWS Cloud ... http.//www.tableau.com/Amazon-Web-Services/Marketplace ... About Tableau....
Analytics are better with shared storage and not scale-out, says IBM
Edit The Register 02 Oct 2015
Conveniently, we happen to have this shared storage thing lying about. How about that?. IBM has a packaged IBM Data Engine for Analytics – Power Systems Edition, a cluster that includes the integrated servers, parallel file system storage, network switches, and software needed to run MapReduce-based workloads ... ....
How an agile data-lake is powering the science behind predictive marketing (MongoDB Inc)
Edit Public Technologies 02 Oct 2015
(Source. MongoDB Inc). The company you work for probably doesn't know much about its potential customers. Right now, most of your understanding about prospective leads is pulled together piecemeal manually by combining SalesForce lists, LinkedIn data and personal experience ... Well it won't work any more ... Then we process all of that data using MongoDB's MapReduce commands to create our marketing indicators, of which there are thousands....
Why Mintigo Uses MongoDB to Power its Predictive Marketing Data Science (MongoDB Inc)
Edit Public Technologies 02 Oct 2015
(Source. MongoDB Inc). In this blog, Tal Segalov, the CTO & co-founder of Mintigo, discusses how his company is using MongoDB to create an agile data lake that powers a new field of data science called predictive marketing. The article originally appeared in IT Pro Portal ... Well it won't work any more ... Then we process all of that data using MongoDB's MapReduce commands to create our marketing indicators, of which there are thousands....
Announcing Talend 6 – The First Spark-Powered Data Integration Platform (Talend Inc)
Edit Public Technologies 30 Sep 2015
(Source. Talend Inc) ... Existing Talend customers can convert MapReduce jobs to Spark with the click of a button, resulting in an immediate 5x performance increase ... 'Building on its existing capabilities for in-Hadoop MapReduce processing with early native Spark and Spark Streaming support, Talend is positioned to capitalize on the demand for real-time analytics.' ... - Support for Continuous Delivery ... - Data Masking and Semantic Analytics....
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