- published: 15 Mar 2012
- views: 3872
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You are leaving digital footprints online. And those footprints are increasingly valuable to advertisers and marketers. How is your data - sites you're visiting, what you're reading online - being used, for good and bad?
For more information, download the IDC whitepaper: https://ibm.co/2awLGs8
Big Data, Bad Data, Good Data -- the link between information governance and big data outcomes
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This video from analyst firm IDC initiates the discussion about the important link between good information governance and the outcomes of big data analytics projects.
- published: 26 Feb 2015
- views: 1120
Przemysław Pastuszka is a software programmer and Big Data passionate. Former employee of Hadapt (recently acquired Teradata), now working on new BD architecture for Ocado Technology. He presents some good and bad examples on how to deal with data sources.
Slides: http://www.slideshare.net/PrzemysawPastuszka/the-big-bad-data-data-krk-presentation
Recorded at DataKRK meetup: http://www.meetup.com/datakrk/events/211844472/
- published: 26 Jan 2015
- views: 202
Three case studies for business to business technology companies. These case studies highlight how to migrate from disconnected and poor quality data sources to high quality big data solutions that drive significant business return.
- published: 02 Dec 2013
- views: 9952
APIs are disrupting industries from the inside and from the outside. These software interfaces enable current Enterprises and Startups to be more agile and more open to create multiple kind of business or innovative ecosystems.
APIdays London next 23-24th of September will focus on APIs in the Banking and Fintech industries for delivering state of the art business cases and technical best practices to upgrade models and legacy software with APIs, with worlwide expert from the banking and fintech industry that are actually working on this topic.
API Days is a series of international and open events about APIs, the programmable web and the Platform Economy with chapters in Paris, London, San Francisco, Berlin, Barcelona, Moscow, Sydney.
For more information, please visit our website at bankingapis.com
- published: 05 Jan 2016
- views: 20
What happens when a hospital sends a dead woman a survey on how she enjoyed her stay? What about when that woman was the mother to a comedian and that comedian works that sad story into her routine? That routine became one of the most famous stand-up routines on the web. Companies are moving so quickly to process customers they are making unforgivable mistakes. They are committing grievances against customers so awful you can’t make this stuff up. Companies must be careful so they too don’t make mistakes like these.
BLAKE'S TAKE
Blake's Take features content on customer experience and includes regularly updated educational content. My goal is to help educate subscribers on how customer experience is changing. Themes such as innovation in customer experience, customer engagement, social customer service, marketing and content are all going to be covered here so make sure to subscribe!
WHO IS BLAKE?
Blake Morgan is a customer experience adviser that has worked with Intel, Verizon Wireless, Verizon, Newmark Knight Frank Retail, One Medical, Misfit Wearables (Shine), Pegasystems, Clarabridge, Zendesk, Sparkcentral, Sukhis Indian Food, Curry Up Now and more. She was recognized by ICMI as a top 50 thought leader for 2015.
Facebook:
https://www.facebook.com/CustomerExperienceBlake/
Twitter:
https://twitter.com/BlakeMichelleM
Website:
www.blakemichellemorgan.com
YouTube Channel:
http://www.youtube.com/c/BlakeMorganCustExp
Newsletter:
http://eepurl.com/bwGzEn
- published: 03 Aug 2016
- views: 2456
Working with data in Excel involves 2 main tasks: data clean up and analysis. We often spend too much time cleaning up badly formatted data and too little time analyzing them. In this video, we will learn the basic concepts of good data and bad data as well as how to convert bad data into good data. This will help you spend less time cleaning up data and more time turning them into actionable business insights.
Dr. Nitin Paranjape (Office MVP)
- published: 03 Jun 2016
- views: 330
What is Big data? The term has been used to mean many different things, and what further compounds the confusion is that Big Data projects may, in fact, not even be using especially large amounts of data. Common perception holds that it must be data from outside of the organization, include unstructured or text-based information, and be so much data that even traditional databases cannot store the information.
Watch this webinar, presented by workforce analytics Dave Weisbeck and Ian Cook of Visier to better understand how big data is impacting HR, and how to increase your organization’s competitive advantage with better insights into your workforce and human capital. Learn how big data provides HR leaders with intuitive answers to questions that previously seemed impossible to resolve.
- published: 22 Nov 2014
- views: 78
We talk about sources of systematic bias through inadequacies in the measurement, classification and selection processes that produced the dataset, and the need to distinguish between facts and artefacts.
- published: 02 Apr 2015
- views: 718
Big
Big means large or of great size.
Big or BIG may also refer to:
Film and television
Music
Places
Organizations
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/Big
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.
Data
Data (/ˈdeɪtə/ DAY-tə, /ˈdætə/ DA-tə, or /ˈdɑːtə/ DAH-tə) is a set of values of qualitative or quantitative variables; restated, pieces of data are individual pieces of information. Data is measured, collected and reported, and analyzed, whereupon it can be visualized using graphs or images. Data as a general concept refers to the fact that some existing information or knowledge is represented or coded in some form suitable for better usage or processing.
Raw data, i.e. unprocessed data, is a collection of numbers, characters; data processing commonly occurs by stages, and the "processed data" from one stage may be considered the "raw data" of the next. Field data is raw data that is collected in an uncontrolled in situ environment. Experimental data is data that is generated within the context of a scientific investigation by observation and recording.
The Latin word "data" is the plural of "datum", and still may be used as a plural noun in this sense. Nowadays, though, "data" is most commonly used in the singular, as a mass noun (like "information", "sand" or "rain").
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/Data
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.
Bad
Bad or BAD may refer to:
Acronyms
Films
Music
- "Bad" (Michael Jackson song), a song from Bad
- Bad 25, a 2012 special 25th anniversary edition of the Jackson album
- Bad (tour), a Michael Jackson world concert tour
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/Bad
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.
Big data
Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy. The term often refers simply to the use of predictive analytics or certain other advanced methods to extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making, and better decisions can result in greater operational efficiency, cost reduction and reduced risk.
Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data sets in areas including Internet search, finance and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics,connectomics, complex physics simulations, biology and environmental research.
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/Big_data
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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53:46Big Bad Data?
Big Bad Data?Big Bad Data?
You are leaving digital footprints online. And those footprints are increasingly valuable to advertisers and marketers. How is your data - sites you're visiting, what you're reading online - being used, for good and bad? -
4:01Big Data, Bad Data, Good Data: The Link Between Information Governance and Big Data Outcomes
Big Data, Bad Data, Good Data: The Link Between Information Governance and Big Data OutcomesBig Data, Bad Data, Good Data: The Link Between Information Governance and Big Data Outcomes
For more information, download the IDC whitepaper: https://ibm.co/2awLGs8 Big Data, Bad Data, Good Data -- the link between information governance and big data outcomes Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This video from analyst firm IDC initiates the discussion about the important link between good information governance and the outcomes of big data analytics projects. -
30:05Big bad data - Przemysław Pastuszka
Big bad data - Przemysław PastuszkaBig bad data - Przemysław Pastuszka
Przemysław Pastuszka is a software programmer and Big Data passionate. Former employee of Hadapt (recently acquired Teradata), now working on new BD architecture for Ocado Technology. He presents some good and bad examples on how to deal with data sources. Slides: http://www.slideshare.net/PrzemysawPastuszka/the-big-bad-data-data-krk-presentation Recorded at DataKRK meetup: http://www.meetup.com/datakrk/events/211844472/ -
11:35Going From Bad Data To Big Data - Three Case Studies
Going From Bad Data To Big Data - Three Case StudiesGoing From Bad Data To Big Data - Three Case Studies
Three case studies for business to business technology companies. These case studies highlight how to migrate from disconnected and poor quality data sources to high quality big data solutions that drive significant business return. -
1:39lies, damned lies, and (BIG) bad data
lies, damned lies, and (BIG) bad datalies, damned lies, and (BIG) bad data
how do we "know?" -
34:09Chris Taggart - Tackling Big Bad Data in Banking
Chris Taggart - Tackling Big Bad Data in BankingChris Taggart - Tackling Big Bad Data in Banking
APIs are disrupting industries from the inside and from the outside. These software interfaces enable current Enterprises and Startups to be more agile and more open to create multiple kind of business or innovative ecosystems. APIdays London next 23-24th of September will focus on APIs in the Banking and Fintech industries for delivering state of the art business cases and technical best practices to upgrade models and legacy software with APIs, with worlwide expert from the banking and fintech industry that are actually working on this topic. API Days is a series of international and open events about APIs, the programmable web and the Platform Economy with chapters in Paris, London, San Francisco, Berlin, Barcelona, Moscow, Sydney. For more information, please visit our website at bankingapis.com -
3:26When Big Data Becomes Really Bad Data
When Big Data Becomes Really Bad DataWhen Big Data Becomes Really Bad Data
What happens when a hospital sends a dead woman a survey on how she enjoyed her stay? What about when that woman was the mother to a comedian and that comedian works that sad story into her routine? That routine became one of the most famous stand-up routines on the web. Companies are moving so quickly to process customers they are making unforgivable mistakes. They are committing grievances against customers so awful you can’t make this stuff up. Companies must be careful so they too don’t make mistakes like these. BLAKE'S TAKE Blake's Take features content on customer experience and includes regularly updated educational content. My goal is to help educate subscribers on how customer experience is changing. Themes such as innovation in customer experience, customer engagement, social customer service, marketing and content are all going to be covered here so make sure to subscribe! WHO IS BLAKE? Blake Morgan is a customer experience adviser that has worked with Intel, Verizon Wireless, Verizon, Newmark Knight Frank Retail, One Medical, Misfit Wearables (Shine), Pegasystems, Clarabridge, Zendesk, Sparkcentral, Sukhis Indian Food, Curry Up Now and more. She was recognized by ICMI as a top 50 thought leader for 2015. Facebook: https://www.facebook.com/CustomerExperienceBlake/ Twitter: https://twitter.com/BlakeMichelleM Website: www.blakemichellemorgan.com YouTube Channel: http://www.youtube.com/c/BlakeMorganCustExp Newsletter: http://eepurl.com/bwGzEn -
3:47Data Analytics Part 1: Good data vs Bad data
Data Analytics Part 1: Good data vs Bad dataData Analytics Part 1: Good data vs Bad data
Working with data in Excel involves 2 main tasks: data clean up and analysis. We often spend too much time cleaning up badly formatted data and too little time analyzing them. In this video, we will learn the basic concepts of good data and bad data as well as how to convert bad data into good data. This will help you spend less time cleaning up data and more time turning them into actionable business insights. Dr. Nitin Paranjape (Office MVP) -
58:11Turning Bad Data into a Big Data Advantage
Turning Bad Data into a Big Data AdvantageTurning Bad Data into a Big Data Advantage
What is Big data? The term has been used to mean many different things, and what further compounds the confusion is that Big Data projects may, in fact, not even be using especially large amounts of data. Common perception holds that it must be data from outside of the organization, include unstructured or text-based information, and be so much data that even traditional databases cannot store the information. Watch this webinar, presented by workforce analytics Dave Weisbeck and Ian Cook of Visier to better understand how big data is impacting HR, and how to increase your organization’s competitive advantage with better insights into your workforce and human capital. Learn how big data provides HR leaders with intuitive answers to questions that previously seemed impossible to resolve. -
7:00Sources of bias: How data goes bad
Sources of bias: How data goes badSources of bias: How data goes bad
We talk about sources of systematic bias through inadequacies in the measurement, classification and selection processes that produced the dataset, and the need to distinguish between facts and artefacts.
-
Big Bad Data?
You are leaving digital footprints online. And those footprints are increasingly valuable to advertisers and marketers. How is your data - sites you're visiting, what you're reading online - being used, for good and bad?
published: 15 Mar 2012 -
Big Data, Bad Data, Good Data: The Link Between Information Governance and Big Data Outcomes
For more information, download the IDC whitepaper: https://ibm.co/2awLGs8 Big Data, Bad Data, Good Data -- the link between information governance and big data outcomes Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with ...
published: 26 Feb 2015 -
Big bad data - Przemysław Pastuszka
Przemysław Pastuszka is a software programmer and Big Data passionate. Former employee of Hadapt (recently acquired Teradata), now working on new BD architecture for Ocado Technology. He presents some good and bad examples on how to deal with data sources. Slides: http://www.slideshare.net/PrzemysawPastuszka/the-big-bad-data-data-krk-presentation Recorded at DataKRK meetup: http://www.meetup.com/datakrk/events/211844472/
published: 26 Jan 2015 -
Going From Bad Data To Big Data - Three Case Studies
Three case studies for business to business technology companies. These case studies highlight how to migrate from disconnected and poor quality data sources to high quality big data solutions that drive significant business return.
published: 02 Dec 2013 -
lies, damned lies, and (BIG) bad data
how do we "know?"
published: 24 Nov 2016 -
Chris Taggart - Tackling Big Bad Data in Banking
APIs are disrupting industries from the inside and from the outside. These software interfaces enable current Enterprises and Startups to be more agile and more open to create multiple kind of business or innovative ecosystems. APIdays London next 23-24th of September will focus on APIs in the Banking and Fintech industries for delivering state of the art business cases and technical best practices to upgrade models and legacy software with APIs, with worlwide expert from the banking and fintech industry that are actually working on this topic. API Days is a series of international and open events about APIs, the programmable web and the Platform Economy with chapters in Paris, London, San Francisco, Berlin, Barcelona, Moscow, Sydney. For more information, please visit our website at bank...
published: 05 Jan 2016 -
When Big Data Becomes Really Bad Data
What happens when a hospital sends a dead woman a survey on how she enjoyed her stay? What about when that woman was the mother to a comedian and that comedian works that sad story into her routine? That routine became one of the most famous stand-up routines on the web. Companies are moving so quickly to process customers they are making unforgivable mistakes. They are committing grievances against customers so awful you can’t make this stuff up. Companies must be careful so they too don’t make mistakes like these. BLAKE'S TAKE Blake's Take features content on customer experience and includes regularly updated educational content. My goal is to help educate subscribers on how customer experience is changing. Themes such as innovation in customer experience, customer engagement, social cu...
published: 03 Aug 2016 -
Data Analytics Part 1: Good data vs Bad data
Working with data in Excel involves 2 main tasks: data clean up and analysis. We often spend too much time cleaning up badly formatted data and too little time analyzing them. In this video, we will learn the basic concepts of good data and bad data as well as how to convert bad data into good data. This will help you spend less time cleaning up data and more time turning them into actionable business insights. Dr. Nitin Paranjape (Office MVP)
published: 03 Jun 2016 -
Turning Bad Data into a Big Data Advantage
What is Big data? The term has been used to mean many different things, and what further compounds the confusion is that Big Data projects may, in fact, not even be using especially large amounts of data. Common perception holds that it must be data from outside of the organization, include unstructured or text-based information, and be so much data that even traditional databases cannot store the information. Watch this webinar, presented by workforce analytics Dave Weisbeck and Ian Cook of Visier to better understand how big data is impacting HR, and how to increase your organization’s competitive advantage with better insights into your workforce and human capital. Learn how big data provides HR leaders with intuitive answers to questions that previously seemed impossible to resolve.
published: 22 Nov 2014 -
Sources of bias: How data goes bad
We talk about sources of systematic bias through inadequacies in the measurement, classification and selection processes that produced the dataset, and the need to distinguish between facts and artefacts.
published: 02 Apr 2015
Big Bad Data?
- Order: Reorder
- Duration: 53:46
- Updated: 15 Mar 2012
- views: 3872
You are leaving digital footprints online. And those footprints are increasingly valuable to advertisers and marketers. How is your data - sites you're visiting...
You are leaving digital footprints online. And those footprints are increasingly valuable to advertisers and marketers. How is your data - sites you're visiting, what you're reading online - being used, for good and bad?
https://wn.com/Big_Bad_Data
You are leaving digital footprints online. And those footprints are increasingly valuable to advertisers and marketers. How is your data - sites you're visiting, what you're reading online - being used, for good and bad?
- published: 15 Mar 2012
- views: 3872
Big Data, Bad Data, Good Data: The Link Between Information Governance and Big Data Outcomes
- Order: Reorder
- Duration: 4:01
- Updated: 26 Feb 2015
- views: 1120
For more information, download the IDC whitepaper: https://ibm.co/2awLGs8
Big Data, Bad Data, Good Data -- the link between information governance and big data...
For more information, download the IDC whitepaper: https://ibm.co/2awLGs8
Big Data, Bad Data, Good Data -- the link between information governance and big data outcomes
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This video from analyst firm IDC initiates the discussion about the important link between good information governance and the outcomes of big data analytics projects.
https://wn.com/Big_Data,_Bad_Data,_Good_Data_The_Link_Between_Information_Governance_And_Big_Data_Outcomes
For more information, download the IDC whitepaper: https://ibm.co/2awLGs8
Big Data, Bad Data, Good Data -- the link between information governance and big data outcomes
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This video from analyst firm IDC initiates the discussion about the important link between good information governance and the outcomes of big data analytics projects.
- published: 26 Feb 2015
- views: 1120
Big bad data - Przemysław Pastuszka
- Order: Reorder
- Duration: 30:05
- Updated: 26 Jan 2015
- views: 202
Przemysław Pastuszka is a software programmer and Big Data passionate. Former employee of Hadapt (recently acquired Teradata), now working on new BD architectur...
Przemysław Pastuszka is a software programmer and Big Data passionate. Former employee of Hadapt (recently acquired Teradata), now working on new BD architecture for Ocado Technology. He presents some good and bad examples on how to deal with data sources.
Slides: http://www.slideshare.net/PrzemysawPastuszka/the-big-bad-data-data-krk-presentation
Recorded at DataKRK meetup: http://www.meetup.com/datakrk/events/211844472/
https://wn.com/Big_Bad_Data_Przemysław_Pastuszka
Przemysław Pastuszka is a software programmer and Big Data passionate. Former employee of Hadapt (recently acquired Teradata), now working on new BD architecture for Ocado Technology. He presents some good and bad examples on how to deal with data sources.
Slides: http://www.slideshare.net/PrzemysawPastuszka/the-big-bad-data-data-krk-presentation
Recorded at DataKRK meetup: http://www.meetup.com/datakrk/events/211844472/
- published: 26 Jan 2015
- views: 202
Going From Bad Data To Big Data - Three Case Studies
- Order: Reorder
- Duration: 11:35
- Updated: 02 Dec 2013
- views: 9952
Three case studies for business to business technology companies. These case studies highlight how to migrate from disconnected and poor quality data sources t...
Three case studies for business to business technology companies. These case studies highlight how to migrate from disconnected and poor quality data sources to high quality big data solutions that drive significant business return.
https://wn.com/Going_From_Bad_Data_To_Big_Data_Three_Case_Studies
Three case studies for business to business technology companies. These case studies highlight how to migrate from disconnected and poor quality data sources to high quality big data solutions that drive significant business return.
- published: 02 Dec 2013
- views: 9952
lies, damned lies, and (BIG) bad data
- Order: Reorder
- Duration: 1:39
- Updated: 24 Nov 2016
- views: 3
how do we "know?"
how do we "know?"
https://wn.com/Lies,_Damned_Lies,_And_(Big)_Bad_Data
how do we "know?"
- published: 24 Nov 2016
- views: 3
Chris Taggart - Tackling Big Bad Data in Banking
- Order: Reorder
- Duration: 34:09
- Updated: 05 Jan 2016
- views: 20
APIs are disrupting industries from the inside and from the outside. These software interfaces enable current Enterprises and Startups to be more agile and more...
APIs are disrupting industries from the inside and from the outside. These software interfaces enable current Enterprises and Startups to be more agile and more open to create multiple kind of business or innovative ecosystems.
APIdays London next 23-24th of September will focus on APIs in the Banking and Fintech industries for delivering state of the art business cases and technical best practices to upgrade models and legacy software with APIs, with worlwide expert from the banking and fintech industry that are actually working on this topic.
API Days is a series of international and open events about APIs, the programmable web and the Platform Economy with chapters in Paris, London, San Francisco, Berlin, Barcelona, Moscow, Sydney.
For more information, please visit our website at bankingapis.com
https://wn.com/Chris_Taggart_Tackling_Big_Bad_Data_In_Banking
APIs are disrupting industries from the inside and from the outside. These software interfaces enable current Enterprises and Startups to be more agile and more open to create multiple kind of business or innovative ecosystems.
APIdays London next 23-24th of September will focus on APIs in the Banking and Fintech industries for delivering state of the art business cases and technical best practices to upgrade models and legacy software with APIs, with worlwide expert from the banking and fintech industry that are actually working on this topic.
API Days is a series of international and open events about APIs, the programmable web and the Platform Economy with chapters in Paris, London, San Francisco, Berlin, Barcelona, Moscow, Sydney.
For more information, please visit our website at bankingapis.com
- published: 05 Jan 2016
- views: 20
When Big Data Becomes Really Bad Data
- Order: Reorder
- Duration: 3:26
- Updated: 03 Aug 2016
- views: 2456
What happens when a hospital sends a dead woman a survey on how she enjoyed her stay? What about when that woman was the mother to a comedian and that comedian ...
What happens when a hospital sends a dead woman a survey on how she enjoyed her stay? What about when that woman was the mother to a comedian and that comedian works that sad story into her routine? That routine became one of the most famous stand-up routines on the web. Companies are moving so quickly to process customers they are making unforgivable mistakes. They are committing grievances against customers so awful you can’t make this stuff up. Companies must be careful so they too don’t make mistakes like these.
BLAKE'S TAKE
Blake's Take features content on customer experience and includes regularly updated educational content. My goal is to help educate subscribers on how customer experience is changing. Themes such as innovation in customer experience, customer engagement, social customer service, marketing and content are all going to be covered here so make sure to subscribe!
WHO IS BLAKE?
Blake Morgan is a customer experience adviser that has worked with Intel, Verizon Wireless, Verizon, Newmark Knight Frank Retail, One Medical, Misfit Wearables (Shine), Pegasystems, Clarabridge, Zendesk, Sparkcentral, Sukhis Indian Food, Curry Up Now and more. She was recognized by ICMI as a top 50 thought leader for 2015.
Facebook:
https://www.facebook.com/CustomerExperienceBlake/
Twitter:
https://twitter.com/BlakeMichelleM
Website:
www.blakemichellemorgan.com
YouTube Channel:
http://www.youtube.com/c/BlakeMorganCustExp
Newsletter:
http://eepurl.com/bwGzEn
https://wn.com/When_Big_Data_Becomes_Really_Bad_Data
What happens when a hospital sends a dead woman a survey on how she enjoyed her stay? What about when that woman was the mother to a comedian and that comedian works that sad story into her routine? That routine became one of the most famous stand-up routines on the web. Companies are moving so quickly to process customers they are making unforgivable mistakes. They are committing grievances against customers so awful you can’t make this stuff up. Companies must be careful so they too don’t make mistakes like these.
BLAKE'S TAKE
Blake's Take features content on customer experience and includes regularly updated educational content. My goal is to help educate subscribers on how customer experience is changing. Themes such as innovation in customer experience, customer engagement, social customer service, marketing and content are all going to be covered here so make sure to subscribe!
WHO IS BLAKE?
Blake Morgan is a customer experience adviser that has worked with Intel, Verizon Wireless, Verizon, Newmark Knight Frank Retail, One Medical, Misfit Wearables (Shine), Pegasystems, Clarabridge, Zendesk, Sparkcentral, Sukhis Indian Food, Curry Up Now and more. She was recognized by ICMI as a top 50 thought leader for 2015.
Facebook:
https://www.facebook.com/CustomerExperienceBlake/
Twitter:
https://twitter.com/BlakeMichelleM
Website:
www.blakemichellemorgan.com
YouTube Channel:
http://www.youtube.com/c/BlakeMorganCustExp
Newsletter:
http://eepurl.com/bwGzEn
- published: 03 Aug 2016
- views: 2456
Data Analytics Part 1: Good data vs Bad data
- Order: Reorder
- Duration: 3:47
- Updated: 03 Jun 2016
- views: 330
Working with data in Excel involves 2 main tasks: data clean up and analysis. We often spend too much time cleaning up badly formatted data and too little time...
Working with data in Excel involves 2 main tasks: data clean up and analysis. We often spend too much time cleaning up badly formatted data and too little time analyzing them. In this video, we will learn the basic concepts of good data and bad data as well as how to convert bad data into good data. This will help you spend less time cleaning up data and more time turning them into actionable business insights.
Dr. Nitin Paranjape (Office MVP)
https://wn.com/Data_Analytics_Part_1_Good_Data_Vs_Bad_Data
Working with data in Excel involves 2 main tasks: data clean up and analysis. We often spend too much time cleaning up badly formatted data and too little time analyzing them. In this video, we will learn the basic concepts of good data and bad data as well as how to convert bad data into good data. This will help you spend less time cleaning up data and more time turning them into actionable business insights.
Dr. Nitin Paranjape (Office MVP)
- published: 03 Jun 2016
- views: 330
Turning Bad Data into a Big Data Advantage
- Order: Reorder
- Duration: 58:11
- Updated: 22 Nov 2014
- views: 78
What is Big data? The term has been used to mean many different things, and what further compounds the confusion is that Big Data projects may, in fact, not eve...
What is Big data? The term has been used to mean many different things, and what further compounds the confusion is that Big Data projects may, in fact, not even be using especially large amounts of data. Common perception holds that it must be data from outside of the organization, include unstructured or text-based information, and be so much data that even traditional databases cannot store the information.
Watch this webinar, presented by workforce analytics Dave Weisbeck and Ian Cook of Visier to better understand how big data is impacting HR, and how to increase your organization’s competitive advantage with better insights into your workforce and human capital. Learn how big data provides HR leaders with intuitive answers to questions that previously seemed impossible to resolve.
https://wn.com/Turning_Bad_Data_Into_A_Big_Data_Advantage
What is Big data? The term has been used to mean many different things, and what further compounds the confusion is that Big Data projects may, in fact, not even be using especially large amounts of data. Common perception holds that it must be data from outside of the organization, include unstructured or text-based information, and be so much data that even traditional databases cannot store the information.
Watch this webinar, presented by workforce analytics Dave Weisbeck and Ian Cook of Visier to better understand how big data is impacting HR, and how to increase your organization’s competitive advantage with better insights into your workforce and human capital. Learn how big data provides HR leaders with intuitive answers to questions that previously seemed impossible to resolve.
- published: 22 Nov 2014
- views: 78
Sources of bias: How data goes bad
- Order: Reorder
- Duration: 7:00
- Updated: 02 Apr 2015
- views: 718
We talk about sources of systematic bias through inadequacies in the measurement, classification and selection processes that produced the dataset, and the need...
We talk about sources of systematic bias through inadequacies in the measurement, classification and selection processes that produced the dataset, and the need to distinguish between facts and artefacts.
https://wn.com/Sources_Of_Bias_How_Data_Goes_Bad
We talk about sources of systematic bias through inadequacies in the measurement, classification and selection processes that produced the dataset, and the need to distinguish between facts and artefacts.
- published: 02 Apr 2015
- views: 718
-
lies, damned lies, and (BIG) bad data
how do we "know?"
published: 24 Nov 2016 -
Big Data, Bad Actors: Lunch Keynote
published: 22 Oct 2015 -
Audience Measurement 2014: Big Data; Bad Decisions
Big Data, Bad Decisions -- Presented by Neena Graham, Maggie Merklin, and Mark Wilson
published: 26 Jun 2014 -
Big bad data - Przemysław Pastuszka
Przemysław Pastuszka is a software programmer and Big Data passionate. Former employee of Hadapt (recently acquired Teradata), now working on new BD architecture for Ocado Technology. He presents some good and bad examples on how to deal with data sources. Slides: http://www.slideshare.net/PrzemysawPastuszka/the-big-bad-data-data-krk-presentation Recorded at DataKRK meetup: http://www.meetup.com/datakrk/events/211844472/
published: 26 Jan 2015 -
Cloud Computing for BCM and Big Data – The Good, The Bad and The Ugly
Cloud Computing for BCM and Big Data – The Good, The Bad and The Ugly
published: 24 Oct 2016 -
Part 2: Businesses collect a plethora of data , but do they act on it?
Big, bad data – when will you blow my house down? Examining issues of trust, governance, ethicality and security in data collection and use. Susan Etlinger, industry analyst, talks with Ari Lightman, Distinguished Services Professor at Carnegie Mellon University.
published: 04 Nov 2015 -
Part 4: Data collection policies and governance
Big, bad data – when will you blow my house down? Examining issues of trust, governance, ethicality and security in data collection and use. Susan Etlinger, industry analyst, talks with Ari Lightman, Distinguished Services Professor at Carnegie Mellon University.
published: 04 Nov 2015 -
Part 5: A micro biome of data as a result of the digitization of everything
Big, bad data – when will you blow my house down? Examining issues of trust, governance, ethicality and security in data collection and use. Susan Etlinger, industry analyst, talks with Ari Lightman, Distinguished Services Professor at Carnegie Mellon University.
published: 04 Nov 2015 -
Part 6: The need for a solid business case for big data collection
Big, bad data – when will you blow my house down? Examining issues of trust, governance, ethicality and security in data collection and use. Susan Etlinger, industry analyst, talks with Ari Lightman, Distinguished Services Professor at Carnegie Mellon University.
published: 04 Nov 2015 -
Big Data as Fast As Possible
Your data is being collected by corporations and governments, but is "big data" inherently bad?? Sponsor message: Cooler Master is a leader in PC cooling products. Check them out here: http://us.coolermaster.com/product/Lines/hyper-series.html Lifehacker article: http://lifehacker.com/what-is-big-data-and-whos-collecting-it-1595798695
published: 03 Aug 2014
lies, damned lies, and (BIG) bad data
- Order: Reorder
- Duration: 1:39
- Updated: 24 Nov 2016
- views: 3
how do we "know?"
how do we "know?"
https://wn.com/Lies,_Damned_Lies,_And_(Big)_Bad_Data
how do we "know?"
- published: 24 Nov 2016
- views: 3
Big Data, Bad Actors: Lunch Keynote
- Order: Reorder
- Duration: 39:31
- Updated: 22 Oct 2015
- views: 151
- published: 22 Oct 2015
- views: 151
Audience Measurement 2014: Big Data; Bad Decisions
- Order: Reorder
- Duration: 11:12
- Updated: 26 Jun 2014
- views: 201
Big Data, Bad Decisions -- Presented by Neena Graham, Maggie Merklin, and Mark Wilson
- published: 26 Jun 2014
- views: 201
Big bad data - Przemysław Pastuszka
- Order: Reorder
- Duration: 30:05
- Updated: 26 Jan 2015
- views: 202
Przemysław Pastuszka is a software programmer and Big Data passionate. Former employee of Hadapt (recently acquired Teradata), now working on new BD architectur...
Przemysław Pastuszka is a software programmer and Big Data passionate. Former employee of Hadapt (recently acquired Teradata), now working on new BD architecture for Ocado Technology. He presents some good and bad examples on how to deal with data sources.
Slides: http://www.slideshare.net/PrzemysawPastuszka/the-big-bad-data-data-krk-presentation
Recorded at DataKRK meetup: http://www.meetup.com/datakrk/events/211844472/
https://wn.com/Big_Bad_Data_Przemysław_Pastuszka
Przemysław Pastuszka is a software programmer and Big Data passionate. Former employee of Hadapt (recently acquired Teradata), now working on new BD architecture for Ocado Technology. He presents some good and bad examples on how to deal with data sources.
Slides: http://www.slideshare.net/PrzemysawPastuszka/the-big-bad-data-data-krk-presentation
Recorded at DataKRK meetup: http://www.meetup.com/datakrk/events/211844472/
- published: 26 Jan 2015
- views: 202
Cloud Computing for BCM and Big Data – The Good, The Bad and The Ugly
- Order: Reorder
- Duration: 15:24
- Updated: 24 Oct 2016
- views: 1
Cloud Computing for BCM and Big Data – The Good, The Bad and The Ugly
- published: 24 Oct 2016
- views: 1
Part 2: Businesses collect a plethora of data , but do they act on it?
- Order: Reorder
- Duration: 1:24
- Updated: 04 Nov 2015
- views: 37
Big, bad data – when will you blow my house down? Examining issues of trust, governance, ethicality and security in data collection and use. Susan Etlinger, ind...
Big, bad data – when will you blow my house down? Examining issues of trust, governance, ethicality and security in data collection and use. Susan Etlinger, industry analyst, talks with Ari Lightman, Distinguished Services Professor at Carnegie Mellon University.
https://wn.com/Part_2_Businesses_Collect_A_Plethora_Of_Data_,_But_Do_They_Act_On_It
Big, bad data – when will you blow my house down? Examining issues of trust, governance, ethicality and security in data collection and use. Susan Etlinger, industry analyst, talks with Ari Lightman, Distinguished Services Professor at Carnegie Mellon University.
- published: 04 Nov 2015
- views: 37
Part 4: Data collection policies and governance
- Order: Reorder
- Duration: 2:21
- Updated: 04 Nov 2015
- views: 8
Big, bad data – when will you blow my house down? Examining issues of trust, governance, ethicality and security in data collection and use. Susan Etlinger, ind...
Big, bad data – when will you blow my house down? Examining issues of trust, governance, ethicality and security in data collection and use. Susan Etlinger, industry analyst, talks with Ari Lightman, Distinguished Services Professor at Carnegie Mellon University.
https://wn.com/Part_4_Data_Collection_Policies_And_Governance
Big, bad data – when will you blow my house down? Examining issues of trust, governance, ethicality and security in data collection and use. Susan Etlinger, industry analyst, talks with Ari Lightman, Distinguished Services Professor at Carnegie Mellon University.
- published: 04 Nov 2015
- views: 8
Part 5: A micro biome of data as a result of the digitization of everything
- Order: Reorder
- Duration: 2:14
- Updated: 04 Nov 2015
- views: 21
Big, bad data – when will you blow my house down? Examining issues of trust, governance, ethicality and security in data collection and use. Susan Etlinger, ind...
Big, bad data – when will you blow my house down? Examining issues of trust, governance, ethicality and security in data collection and use. Susan Etlinger, industry analyst, talks with Ari Lightman, Distinguished Services Professor at Carnegie Mellon University.
https://wn.com/Part_5_A_Micro_Biome_Of_Data_As_A_Result_Of_The_Digitization_Of_Everything
Big, bad data – when will you blow my house down? Examining issues of trust, governance, ethicality and security in data collection and use. Susan Etlinger, industry analyst, talks with Ari Lightman, Distinguished Services Professor at Carnegie Mellon University.
- published: 04 Nov 2015
- views: 21
Part 6: The need for a solid business case for big data collection
- Order: Reorder
- Duration: 2:18
- Updated: 04 Nov 2015
- views: 18
Big, bad data – when will you blow my house down? Examining issues of trust, governance, ethicality and security in data collection and use. Susan Etlinger, ind...
Big, bad data – when will you blow my house down? Examining issues of trust, governance, ethicality and security in data collection and use. Susan Etlinger, industry analyst, talks with Ari Lightman, Distinguished Services Professor at Carnegie Mellon University.
https://wn.com/Part_6_The_Need_For_A_Solid_Business_Case_For_Big_Data_Collection
Big, bad data – when will you blow my house down? Examining issues of trust, governance, ethicality and security in data collection and use. Susan Etlinger, industry analyst, talks with Ari Lightman, Distinguished Services Professor at Carnegie Mellon University.
- published: 04 Nov 2015
- views: 18
Big Data as Fast As Possible
- Order: Reorder
- Duration: 5:01
- Updated: 03 Aug 2014
- views: 222489
Your data is being collected by corporations and governments, but is "big data" inherently bad??
Sponsor message: Cooler Master is a leader in PC cooling produ...
Your data is being collected by corporations and governments, but is "big data" inherently bad??
Sponsor message: Cooler Master is a leader in PC cooling products. Check them out here: http://us.coolermaster.com/product/Lines/hyper-series.html
Lifehacker article: http://lifehacker.com/what-is-big-data-and-whos-collecting-it-1595798695
https://wn.com/Big_Data_As_Fast_As_Possible
Your data is being collected by corporations and governments, but is "big data" inherently bad??
Sponsor message: Cooler Master is a leader in PC cooling products. Check them out here: http://us.coolermaster.com/product/Lines/hyper-series.html
Lifehacker article: http://lifehacker.com/what-is-big-data-and-whos-collecting-it-1595798695
- published: 03 Aug 2014
- views: 222489
-
Big Bad Data?
You are leaving digital footprints online. And those footprints are increasingly valuable to advertisers and marketers. How is your data - sites you're visiting, what you're reading online - being used, for good and bad?
published: 15 Mar 2012 -
Voice of Appraisal E17 Big Data..Good?..Bad?...or Really Ugly!!
Phil breaks down the cost of the American Dream and weighs in on BIG DATA!!!!
published: 15 Jul 2014 -
Chris Taggart - Tackling Big Bad Data in Banking
APIs are disrupting industries from the inside and from the outside. These software interfaces enable current Enterprises and Startups to be more agile and more open to create multiple kind of business or innovative ecosystems. APIdays London next 23-24th of September will focus on APIs in the Banking and Fintech industries for delivering state of the art business cases and technical best practices to upgrade models and legacy software with APIs, with worlwide expert from the banking and fintech industry that are actually working on this topic. API Days is a series of international and open events about APIs, the programmable web and the Platform Economy with chapters in Paris, London, San Francisco, Berlin, Barcelona, Moscow, Sydney. For more information, please visit our website at bank...
published: 05 Jan 2016 -
-
Joe Ford - DNB60 Mix
Joe Ford's DNB60 mix, first broadcast on BBC Radio 1 & 1Xtra on 05.05.15. Subscribe: https://lnk.to/YTSubscribe Fourward & Joe Ford - Katana Joe Ford - Off Centre Icicle - Neutralize (Joe Ford Remix) Calyx & TeeBee - Wipeout Barely Alive - Shudder (Joe Ford Remix) (feat. Coppa) Phace - My Mind Is Modular Takura TendayI - Sun Goes Down (Joe Ford Remix) Joe Ford - All Of Us The Upbeats - Alone (feat. Tasha Baxter) Neonlight & Wintermute - Guinea Pig Black Sun Empire - Brainfreeze (Neonlight Remix V2) Joe Ford - Snares Emperor - Mind Games Misanthrop - Big Data InsideInfo & Mefjus - Repentance Bad Company UK - Bullet Time (Spor Remix) Teddy Killerz - Higher Ground (feat. Pat Fulgoni) Joe Ford - VE3 Noisia - Incessant Joe Ford - Abandoned Art (feat. Miss Trouble) Joe Ford Facebook: http://ww...
published: 04 Dec 2015 -
The Ultimate RWBY Dance Party, Volume 2: Dedicated to Monty Oum
RWBY is created by Monty Oum, and the property of Rooster Teeth Productions. This video is strictly made for entertainment purposes. The full track list is as follows: 1. Shut Up and Dance – Walk the Moon (JNPR) 2. Dangerous (feat. Joywave) – Big Data (CRME) 3. Trying to Be Cool – Phoenix (CRDL) 4. Dancing In the Dark – Bruce Springsteen (GOOP) 5. Da Funk – Daft Punk (Atlas) 6. Hollow Moon (Bad Wolf) – AWOLNATION (JAMM) 7. Animals – Maroon 5 (Grimm) 8. Electric Feel – MGMT (JNPR) 9. Dirt Off Your Shoulder/Lying From You – Jay Z/Linkin Park (CRME) 10. Shake It Off – Taylor Swift (CRDL) 11. Savior – Rise Against (GOOP) 12. Monday (The Glitch Mob Remix) – Napela (Atlas) 13. Stolen Dance – Milky Chance (JAMM) 14. Shadows – Lindsay Stirling (Grimm) 15. Crasher-vaina – Starbomb (JNPR) 16. Thi...
published: 08 May 2015 -
Good, Bad, or Bull$#*! #155 - Big Data (Livestream Edition!)
This livestream edition of the Good, Bad, or Bull$#*! podcast for your viewing pleasure, warts and all! Please check out the audio podcast version of our show which can be found on iTunes and Stitcher Radio! All of the information is available at GOODBADBULL.COM! We want to hear from you! Visit us on our website goodbadbull.com where you can like us on Facebook.com/GoodBadBull or follow us on Twitter @goodbadbull, or simply send us an email with your thoughts and opinions at goodbadbull@gmail.com and we may just read your message on the show!
published: 23 Jun 2016 -
#47 - Datron 1071 7.5-digit multimeter repair
A vintage metrology grade meter was repaired, calibrated and tested for stability. Not much was wrong with it: a couple of faulty caps, a stuck switch, and corrupt calibration data. The display is bad as well, but usable, so it can be tolerated for now. The loss of calibration is, of course, a big deal since I don't have appropriate equipment to calibrate a 7.5-digit meter, but I have done what I could given the circumstances. Then I run the meter together with HP 34401A for about 28 hours taking measurements of 10V from Fluke 341A calibrator over GPIB and plotting the data using Octave 4 with instrument-control package. The results look good: just a few ppm of drift over a wide temperature range, and the meters stayed within about 2.5 ppm from each other. Forum: http://www.eevblog.com/fo...
published: 25 Aug 2016
Big Bad Data?
- Order: Reorder
- Duration: 53:46
- Updated: 15 Mar 2012
- views: 3872
You are leaving digital footprints online. And those footprints are increasingly valuable to advertisers and marketers. How is your data - sites you're visiting...
You are leaving digital footprints online. And those footprints are increasingly valuable to advertisers and marketers. How is your data - sites you're visiting, what you're reading online - being used, for good and bad?
https://wn.com/Big_Bad_Data
You are leaving digital footprints online. And those footprints are increasingly valuable to advertisers and marketers. How is your data - sites you're visiting, what you're reading online - being used, for good and bad?
- published: 15 Mar 2012
- views: 3872
Voice of Appraisal E17 Big Data..Good?..Bad?...or Really Ugly!!
- Order: Reorder
- Duration: 35:43
- Updated: 15 Jul 2014
- views: 635
Phil breaks down the cost of the American Dream and weighs in on BIG DATA!!!!
- published: 15 Jul 2014
- views: 635
Chris Taggart - Tackling Big Bad Data in Banking
- Order: Reorder
- Duration: 34:09
- Updated: 05 Jan 2016
- views: 20
APIs are disrupting industries from the inside and from the outside. These software interfaces enable current Enterprises and Startups to be more agile and more...
APIs are disrupting industries from the inside and from the outside. These software interfaces enable current Enterprises and Startups to be more agile and more open to create multiple kind of business or innovative ecosystems.
APIdays London next 23-24th of September will focus on APIs in the Banking and Fintech industries for delivering state of the art business cases and technical best practices to upgrade models and legacy software with APIs, with worlwide expert from the banking and fintech industry that are actually working on this topic.
API Days is a series of international and open events about APIs, the programmable web and the Platform Economy with chapters in Paris, London, San Francisco, Berlin, Barcelona, Moscow, Sydney.
For more information, please visit our website at bankingapis.com
https://wn.com/Chris_Taggart_Tackling_Big_Bad_Data_In_Banking
APIs are disrupting industries from the inside and from the outside. These software interfaces enable current Enterprises and Startups to be more agile and more open to create multiple kind of business or innovative ecosystems.
APIdays London next 23-24th of September will focus on APIs in the Banking and Fintech industries for delivering state of the art business cases and technical best practices to upgrade models and legacy software with APIs, with worlwide expert from the banking and fintech industry that are actually working on this topic.
API Days is a series of international and open events about APIs, the programmable web and the Platform Economy with chapters in Paris, London, San Francisco, Berlin, Barcelona, Moscow, Sydney.
For more information, please visit our website at bankingapis.com
- published: 05 Jan 2016
- views: 20
This Week in Enterprise Tech 26: Seriously Good POS
- Order: Reorder
- Duration: 1:12:33
- Updated: 21 Jan 2013
- views: 442
Joe Ford - DNB60 Mix
- Order: Reorder
- Duration: 59:08
- Updated: 04 Dec 2015
- views: 6210
Joe Ford's DNB60 mix, first broadcast on BBC Radio 1 & 1Xtra on 05.05.15.
Subscribe: https://lnk.to/YTSubscribe
Fourward & Joe Ford - Katana
Joe Ford - Off Cen...
Joe Ford's DNB60 mix, first broadcast on BBC Radio 1 & 1Xtra on 05.05.15.
Subscribe: https://lnk.to/YTSubscribe
Fourward & Joe Ford - Katana
Joe Ford - Off Centre
Icicle - Neutralize (Joe Ford Remix)
Calyx & TeeBee - Wipeout
Barely Alive - Shudder (Joe Ford Remix) (feat. Coppa)
Phace - My Mind Is Modular
Takura TendayI - Sun Goes Down (Joe Ford Remix)
Joe Ford - All Of Us
The Upbeats - Alone (feat. Tasha Baxter)
Neonlight & Wintermute - Guinea Pig
Black Sun Empire - Brainfreeze (Neonlight Remix V2)
Joe Ford - Snares
Emperor - Mind Games
Misanthrop - Big Data
InsideInfo & Mefjus - Repentance
Bad Company UK - Bullet Time (Spor Remix)
Teddy Killerz - Higher Ground (feat. Pat Fulgoni)
Joe Ford - VE3
Noisia - Incessant
Joe Ford - Abandoned Art (feat. Miss Trouble)
Joe Ford
Facebook: http://www.facebook.com/Joefordmusic
Twitter: http://http://twitter.com/joefordmusic
-
Shogun Audio
Facebook: http://www.facebook.com/shogunaudio
Twitter: http://www.twitter.com/ShogunAudio
Instagram: http://www.instagram.com/shogun_audio
Soundcloud: http://www.soundcloud.com/ShogunAudio
Spotify: http://www.play.spotify.com/user/shogun_audio
https://wn.com/Joe_Ford_Dnb60_Mix
Joe Ford's DNB60 mix, first broadcast on BBC Radio 1 & 1Xtra on 05.05.15.
Subscribe: https://lnk.to/YTSubscribe
Fourward & Joe Ford - Katana
Joe Ford - Off Centre
Icicle - Neutralize (Joe Ford Remix)
Calyx & TeeBee - Wipeout
Barely Alive - Shudder (Joe Ford Remix) (feat. Coppa)
Phace - My Mind Is Modular
Takura TendayI - Sun Goes Down (Joe Ford Remix)
Joe Ford - All Of Us
The Upbeats - Alone (feat. Tasha Baxter)
Neonlight & Wintermute - Guinea Pig
Black Sun Empire - Brainfreeze (Neonlight Remix V2)
Joe Ford - Snares
Emperor - Mind Games
Misanthrop - Big Data
InsideInfo & Mefjus - Repentance
Bad Company UK - Bullet Time (Spor Remix)
Teddy Killerz - Higher Ground (feat. Pat Fulgoni)
Joe Ford - VE3
Noisia - Incessant
Joe Ford - Abandoned Art (feat. Miss Trouble)
Joe Ford
Facebook: http://www.facebook.com/Joefordmusic
Twitter: http://http://twitter.com/joefordmusic
-
Shogun Audio
Facebook: http://www.facebook.com/shogunaudio
Twitter: http://www.twitter.com/ShogunAudio
Instagram: http://www.instagram.com/shogun_audio
Soundcloud: http://www.soundcloud.com/ShogunAudio
Spotify: http://www.play.spotify.com/user/shogun_audio
- published: 04 Dec 2015
- views: 6210
The Ultimate RWBY Dance Party, Volume 2: Dedicated to Monty Oum
- Order: Reorder
- Duration: 30:48
- Updated: 08 May 2015
- views: 35512
RWBY is created by Monty Oum, and the property of Rooster Teeth Productions. This video is strictly made for entertainment purposes.
The full track list is as ...
RWBY is created by Monty Oum, and the property of Rooster Teeth Productions. This video is strictly made for entertainment purposes.
The full track list is as follows:
1. Shut Up and Dance – Walk the Moon (JNPR)
2. Dangerous (feat. Joywave) – Big Data (CRME)
3. Trying to Be Cool – Phoenix (CRDL)
4. Dancing In the Dark – Bruce Springsteen (GOOP)
5. Da Funk – Daft Punk (Atlas)
6. Hollow Moon (Bad Wolf) – AWOLNATION (JAMM)
7. Animals – Maroon 5 (Grimm)
8. Electric Feel – MGMT (JNPR)
9. Dirt Off Your Shoulder/Lying From You – Jay Z/Linkin Park
(CRME)
10. Shake It Off – Taylor Swift (CRDL)
11. Savior – Rise Against (GOOP)
12. Monday (The Glitch Mob Remix) – Napela (Atlas)
13. Stolen Dance – Milky Chance (JAMM)
14. Shadows – Lindsay Stirling (Grimm)
15. Crasher-vaina – Starbomb (JNPR)
16. This Ain’t A Scene (It’s An Arms Race) – Fall Out Boy (CRME)
17. Baby I’m Yours (feat. Irfane) – Breakbot (CRDL)
18. Hold the Line – Toto (GOOP)
19. Pay No Mind – Maedon (feat. Passion Pit) (Atlas)
20. Music Sounds Better With You – Stardust (JAMM)
21. Beautiful Monster – Ne-Yo (Grimm)
22. Sorairo Days (TTGL Opening Theme) (JNPR)
23. Bach to The Phuture – Savant (CRME)
24. My Type – Saint Motel (CRDL)
25. Lifted Up (1985) – Passion Pit (GOOP)
26. On The Fence – Milo Greene (Atlas)
27. Lucky Strike – Maroon 5 (JAMM)
28. Jealous (I Ain’t Wit It) – Chromeo (Grimm)
29. Rollercoaster – Bleachers (JNPR)
30. Smooth Criminal – Michael Jackson (CRME)
31. Burnin’ Up – Jonas Brothers (CRDL)
32. The Warrior – Scandal (GOOP)
33. Power Cut – Middle Milk (Atlas)
34. Talk Dirty – Jason Deluro (JAMM)
35. Daybreak – Michael Haggins (Grimm)
36. Sugar, We’re Going Down – Fall Out Boy (JNPR)
37. Push ‘Em – Yelawolf & Travis Barker (CRME)
38. Boys Are Back In Town – Thin Lizzy (CRDL)
39. What’s Love Got to Do With It? – Tina Turner (GOOP)
40. Origin – Savant (Atlas)
41. Dance (Blow It All Away) – House of Heroes (JAMM)
42. Living Dead Girl – Rob Zombie (Grimm)
43. Did I Say That Out Loud? – Barenaked Ladies (JNPR)
44. Bang Bang (feat. Adam Levine) – K’naan (CRME)
45. Song 2 – Blur (CRDL)
46. Love is A Battlefield – Pat Benetar (GOOP)
47. Bonfire – Knife Party (Atlas)
48. The Whip – Locksley (JAMM)
49. Howling For You – The Black Keys (Grimm)
50. Grand Theft Autumn/Where Is Your Boy – Fall Out Boy (JNPR)
51. Misery Business – Paramore (CRME)
52. Shiver Shiver – Walk the Moon (CRDL)
53. Rock the Casbah – The Clash (GOOP)
54. In The Grass – Vacationer (Atlas)
55. One (Your Name) – Swedish House Mafia (JAMM)
56. Party Rock Anthem – LMFAO (Grimm)
57. Guren no Yumiya (Attack on Titan Theme) (JNPR)
58. Fluorescent Adolescent – Arctic Monkeys (CRME)
59. I Could’ve Been Your Girl – She & Him (CRDL)
60. San Francisco – The Mowgli’s (GOOP)
61. Alive – Empire of the Sun (Atlas)
62. 1901 – Phoenix (JAMM)
63. I Say Ooh – Jeff Williams (feat. Sandy Casey) (Grimm)
64. Uptown Funk (feat. Bruno Mars) – Mark Ronson (JNPR)
65. Everlong – Foo Fighters (CRME)
66. Teenagers – My Chemical Romance (CRDL)
67. Perfect Stranger – The Uggos (GOOP)
68. September (Zanski Remix) – Earth, Wind, and Fire (Atlas)
69. Time of Our Lives – NeYo & Pitbull (JAMM)
70. The Rockafella Skank – Fatboy Slim (Grimm)
71. Master of Tides – Lindsay Stirling (JNPR)
72. Lazeretto – Jack White (CRME)
73. Uma Thurman – Fall Out Boy (CRDL)
74. Dancing in the Moonlight – Thin Lizzy (GOOP)
75. Outside – Calvin Harris (feat. Elle Goulding) (Atlas)
76. My World – Drop Apollo (JAMM)
77. Come Out and Play – The Offspring (Grimm)
78. Ambiguous – Kill la Kill OST (JNPR)
79. Us vs. Them – LCD Soundsystem (CRME)
80. Flathead – The Fratellis (CRDL)
81. I Wanna Get Better – Bleachers (GOOP)
82. Frame of Mind - Tristam and Brakem (Atlas)
83. Lonely Boy – The Black Keys (JAMM)
84. The Impression That I Get – The Mighty Mighty Bosstones (Grimm)
85. Dreaming – Smallpools (JNPR)
86. Never Wanted to Dance – Mindless Self Indulgence (CRME)
87. Down With the Trumpets – Rizzle Kicks (CRDL)
88. Odds Are – Barenaked Ladies (GOOP)
89. Rain – Blackmill (Atlas)
90. Before My Body is Dry – Kill la Kill OST (JAMM)
91. Turn Down For What – Lil John (Grimm)
92. Harlem – New Politics (JNPR)
93. Tank! (Cowboy Bebop Opening Theme) - Seatbelts (CRME)
94. Euphemia – Area 11 (CRDL)
95. The Middle – Jimmy Eat World (GOOP)
96. Beam – Mako (Atlas)
97. Just Dance – Lady Gaga (JAMM)
98. Immortals – Fall Out Boy (Grimm)
99. Time to Say Goodbye (James Landino’s Beach Bae Mix) – Jeff Williams (feat. Casey Lee Williams) (JNPR)
100. When You’re Evil – Volitaire (CRME)
101. Absolutely (Story of A Girl) – Nine Days (CRDL)
102. Meant to Live – Switchfoot (GOOP)
103. Finale – Madeon (Atlas)
104. Trojans – Atlas Genius (JAMM)
105. Woman – Wolfmother (Grimm)
106. Rather Be (feat. Jess Glynne) – Clean Bandit (JNPR)
https://wn.com/The_Ultimate_Rwby_Dance_Party,_Volume_2_Dedicated_To_Monty_Oum
RWBY is created by Monty Oum, and the property of Rooster Teeth Productions. This video is strictly made for entertainment purposes.
The full track list is as follows:
1. Shut Up and Dance – Walk the Moon (JNPR)
2. Dangerous (feat. Joywave) – Big Data (CRME)
3. Trying to Be Cool – Phoenix (CRDL)
4. Dancing In the Dark – Bruce Springsteen (GOOP)
5. Da Funk – Daft Punk (Atlas)
6. Hollow Moon (Bad Wolf) – AWOLNATION (JAMM)
7. Animals – Maroon 5 (Grimm)
8. Electric Feel – MGMT (JNPR)
9. Dirt Off Your Shoulder/Lying From You – Jay Z/Linkin Park
(CRME)
10. Shake It Off – Taylor Swift (CRDL)
11. Savior – Rise Against (GOOP)
12. Monday (The Glitch Mob Remix) – Napela (Atlas)
13. Stolen Dance – Milky Chance (JAMM)
14. Shadows – Lindsay Stirling (Grimm)
15. Crasher-vaina – Starbomb (JNPR)
16. This Ain’t A Scene (It’s An Arms Race) – Fall Out Boy (CRME)
17. Baby I’m Yours (feat. Irfane) – Breakbot (CRDL)
18. Hold the Line – Toto (GOOP)
19. Pay No Mind – Maedon (feat. Passion Pit) (Atlas)
20. Music Sounds Better With You – Stardust (JAMM)
21. Beautiful Monster – Ne-Yo (Grimm)
22. Sorairo Days (TTGL Opening Theme) (JNPR)
23. Bach to The Phuture – Savant (CRME)
24. My Type – Saint Motel (CRDL)
25. Lifted Up (1985) – Passion Pit (GOOP)
26. On The Fence – Milo Greene (Atlas)
27. Lucky Strike – Maroon 5 (JAMM)
28. Jealous (I Ain’t Wit It) – Chromeo (Grimm)
29. Rollercoaster – Bleachers (JNPR)
30. Smooth Criminal – Michael Jackson (CRME)
31. Burnin’ Up – Jonas Brothers (CRDL)
32. The Warrior – Scandal (GOOP)
33. Power Cut – Middle Milk (Atlas)
34. Talk Dirty – Jason Deluro (JAMM)
35. Daybreak – Michael Haggins (Grimm)
36. Sugar, We’re Going Down – Fall Out Boy (JNPR)
37. Push ‘Em – Yelawolf & Travis Barker (CRME)
38. Boys Are Back In Town – Thin Lizzy (CRDL)
39. What’s Love Got to Do With It? – Tina Turner (GOOP)
40. Origin – Savant (Atlas)
41. Dance (Blow It All Away) – House of Heroes (JAMM)
42. Living Dead Girl – Rob Zombie (Grimm)
43. Did I Say That Out Loud? – Barenaked Ladies (JNPR)
44. Bang Bang (feat. Adam Levine) – K’naan (CRME)
45. Song 2 – Blur (CRDL)
46. Love is A Battlefield – Pat Benetar (GOOP)
47. Bonfire – Knife Party (Atlas)
48. The Whip – Locksley (JAMM)
49. Howling For You – The Black Keys (Grimm)
50. Grand Theft Autumn/Where Is Your Boy – Fall Out Boy (JNPR)
51. Misery Business – Paramore (CRME)
52. Shiver Shiver – Walk the Moon (CRDL)
53. Rock the Casbah – The Clash (GOOP)
54. In The Grass – Vacationer (Atlas)
55. One (Your Name) – Swedish House Mafia (JAMM)
56. Party Rock Anthem – LMFAO (Grimm)
57. Guren no Yumiya (Attack on Titan Theme) (JNPR)
58. Fluorescent Adolescent – Arctic Monkeys (CRME)
59. I Could’ve Been Your Girl – She & Him (CRDL)
60. San Francisco – The Mowgli’s (GOOP)
61. Alive – Empire of the Sun (Atlas)
62. 1901 – Phoenix (JAMM)
63. I Say Ooh – Jeff Williams (feat. Sandy Casey) (Grimm)
64. Uptown Funk (feat. Bruno Mars) – Mark Ronson (JNPR)
65. Everlong – Foo Fighters (CRME)
66. Teenagers – My Chemical Romance (CRDL)
67. Perfect Stranger – The Uggos (GOOP)
68. September (Zanski Remix) – Earth, Wind, and Fire (Atlas)
69. Time of Our Lives – NeYo & Pitbull (JAMM)
70. The Rockafella Skank – Fatboy Slim (Grimm)
71. Master of Tides – Lindsay Stirling (JNPR)
72. Lazeretto – Jack White (CRME)
73. Uma Thurman – Fall Out Boy (CRDL)
74. Dancing in the Moonlight – Thin Lizzy (GOOP)
75. Outside – Calvin Harris (feat. Elle Goulding) (Atlas)
76. My World – Drop Apollo (JAMM)
77. Come Out and Play – The Offspring (Grimm)
78. Ambiguous – Kill la Kill OST (JNPR)
79. Us vs. Them – LCD Soundsystem (CRME)
80. Flathead – The Fratellis (CRDL)
81. I Wanna Get Better – Bleachers (GOOP)
82. Frame of Mind - Tristam and Brakem (Atlas)
83. Lonely Boy – The Black Keys (JAMM)
84. The Impression That I Get – The Mighty Mighty Bosstones (Grimm)
85. Dreaming – Smallpools (JNPR)
86. Never Wanted to Dance – Mindless Self Indulgence (CRME)
87. Down With the Trumpets – Rizzle Kicks (CRDL)
88. Odds Are – Barenaked Ladies (GOOP)
89. Rain – Blackmill (Atlas)
90. Before My Body is Dry – Kill la Kill OST (JAMM)
91. Turn Down For What – Lil John (Grimm)
92. Harlem – New Politics (JNPR)
93. Tank! (Cowboy Bebop Opening Theme) - Seatbelts (CRME)
94. Euphemia – Area 11 (CRDL)
95. The Middle – Jimmy Eat World (GOOP)
96. Beam – Mako (Atlas)
97. Just Dance – Lady Gaga (JAMM)
98. Immortals – Fall Out Boy (Grimm)
99. Time to Say Goodbye (James Landino’s Beach Bae Mix) – Jeff Williams (feat. Casey Lee Williams) (JNPR)
100. When You’re Evil – Volitaire (CRME)
101. Absolutely (Story of A Girl) – Nine Days (CRDL)
102. Meant to Live – Switchfoot (GOOP)
103. Finale – Madeon (Atlas)
104. Trojans – Atlas Genius (JAMM)
105. Woman – Wolfmother (Grimm)
106. Rather Be (feat. Jess Glynne) – Clean Bandit (JNPR)
- published: 08 May 2015
- views: 35512
Good, Bad, or Bull$#*! #155 - Big Data (Livestream Edition!)
- Order: Reorder
- Duration: 56:40
- Updated: 23 Jun 2016
- views: 18
This livestream edition of the Good, Bad, or Bull$#*! podcast for your viewing pleasure, warts and all! Please check out the audio podcast version of our show w...
This livestream edition of the Good, Bad, or Bull$#*! podcast for your viewing pleasure, warts and all! Please check out the audio podcast version of our show which can be found on iTunes and Stitcher Radio! All of the information is available at GOODBADBULL.COM!
We want to hear from you! Visit us on our website goodbadbull.com where you can like us on Facebook.com/GoodBadBull or follow us on Twitter @goodbadbull, or simply send us an email with your thoughts and opinions at goodbadbull@gmail.com and we may just read your message on the show!
https://wn.com/Good,_Bad,_Or_Bull_155_Big_Data_(Livestream_Edition_)
This livestream edition of the Good, Bad, or Bull$#*! podcast for your viewing pleasure, warts and all! Please check out the audio podcast version of our show which can be found on iTunes and Stitcher Radio! All of the information is available at GOODBADBULL.COM!
We want to hear from you! Visit us on our website goodbadbull.com where you can like us on Facebook.com/GoodBadBull or follow us on Twitter @goodbadbull, or simply send us an email with your thoughts and opinions at goodbadbull@gmail.com and we may just read your message on the show!
- published: 23 Jun 2016
- views: 18
#47 - Datron 1071 7.5-digit multimeter repair
- Order: Reorder
- Duration: 30:20
- Updated: 25 Aug 2016
- views: 3169
A vintage metrology grade meter was repaired, calibrated and tested for stability. Not much was wrong with it: a couple of faulty caps, a stuck switch, and corr...
A vintage metrology grade meter was repaired, calibrated and tested for stability. Not much was wrong with it: a couple of faulty caps, a stuck switch, and corrupt calibration data. The display is bad as well, but usable, so it can be tolerated for now. The loss of calibration is, of course, a big deal since I don't have appropriate equipment to calibrate a 7.5-digit meter, but I have done what I could given the circumstances. Then I run the meter together with HP 34401A for about 28 hours taking measurements of 10V from Fluke 341A calibrator over GPIB and plotting the data using Octave 4 with instrument-control package. The results look good: just a few ppm of drift over a wide temperature range, and the meters stayed within about 2.5 ppm from each other.
Forum: http://www.eevblog.com/forum/metrology/datron-1071-repair/
Datron 1071 Service Manual: https://drive.google.com/file/d/0B3NWgPtazb_tMUhKbkZpYXlUQTg/
Fluke 341A calibrator repair: https://youtu.be/mxz3-fGs1Lk
https://wn.com/47_Datron_1071_7.5_Digit_Multimeter_Repair
A vintage metrology grade meter was repaired, calibrated and tested for stability. Not much was wrong with it: a couple of faulty caps, a stuck switch, and corrupt calibration data. The display is bad as well, but usable, so it can be tolerated for now. The loss of calibration is, of course, a big deal since I don't have appropriate equipment to calibrate a 7.5-digit meter, but I have done what I could given the circumstances. Then I run the meter together with HP 34401A for about 28 hours taking measurements of 10V from Fluke 341A calibrator over GPIB and plotting the data using Octave 4 with instrument-control package. The results look good: just a few ppm of drift over a wide temperature range, and the meters stayed within about 2.5 ppm from each other.
Forum: http://www.eevblog.com/forum/metrology/datron-1071-repair/
Datron 1071 Service Manual: https://drive.google.com/file/d/0B3NWgPtazb_tMUhKbkZpYXlUQTg/
Fluke 341A calibrator repair: https://youtu.be/mxz3-fGs1Lk
- published: 25 Aug 2016
- views: 3169
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53:46
Big Bad Data?
You are leaving digital footprints online. And those footprints are increasingly valuable ...
published: 15 Mar 2012
Big Bad Data?
Big Bad Data?
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- published: 15 Mar 2012
- views: 3872
4:01
Big Data, Bad Data, Good Data: The Link Between Information Governance and Big Data Outcomes
For more information, download the IDC whitepaper: https://ibm.co/2awLGs8
Big Data, Bad D...
published: 26 Feb 2015
Big Data, Bad Data, Good Data: The Link Between Information Governance and Big Data Outcomes
Big Data, Bad Data, Good Data: The Link Between Information Governance and Big Data Outcomes
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- published: 26 Feb 2015
- views: 1120
30:05
Big bad data - Przemysław Pastuszka
Przemysław Pastuszka is a software programmer and Big Data passionate. Former employee of ...
published: 26 Jan 2015
Big bad data - Przemysław Pastuszka
Big bad data - Przemysław Pastuszka
- Report rights infringement
- published: 26 Jan 2015
- views: 202
11:35
Going From Bad Data To Big Data - Three Case Studies
Three case studies for business to business technology companies. These case studies high...
published: 02 Dec 2013
Going From Bad Data To Big Data - Three Case Studies
Going From Bad Data To Big Data - Three Case Studies
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- published: 02 Dec 2013
- views: 9952
1:39
lies, damned lies, and (BIG) bad data
how do we "know?"
published: 24 Nov 2016
lies, damned lies, and (BIG) bad data
lies, damned lies, and (BIG) bad data
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- published: 24 Nov 2016
- views: 3
34:09
Chris Taggart - Tackling Big Bad Data in Banking
APIs are disrupting industries from the inside and from the outside. These software interf...
published: 05 Jan 2016
Chris Taggart - Tackling Big Bad Data in Banking
Chris Taggart - Tackling Big Bad Data in Banking
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- published: 05 Jan 2016
- views: 20
3:26
When Big Data Becomes Really Bad Data
What happens when a hospital sends a dead woman a survey on how she enjoyed her stay? What...
published: 03 Aug 2016
When Big Data Becomes Really Bad Data
When Big Data Becomes Really Bad Data
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- published: 03 Aug 2016
- views: 2456
3:47
Data Analytics Part 1: Good data vs Bad data
Working with data in Excel involves 2 main tasks: data clean up and analysis. We often sp...
published: 03 Jun 2016
Data Analytics Part 1: Good data vs Bad data
Data Analytics Part 1: Good data vs Bad data
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- published: 03 Jun 2016
- views: 330
58:11
Turning Bad Data into a Big Data Advantage
What is Big data? The term has been used to mean many different things, and what further c...
published: 22 Nov 2014
Turning Bad Data into a Big Data Advantage
Turning Bad Data into a Big Data Advantage
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- published: 22 Nov 2014
- views: 78
7:00
Sources of bias: How data goes bad
We talk about sources of systematic bias through inadequacies in the measurement, classifi...
published: 02 Apr 2015
Sources of bias: How data goes bad
Sources of bias: How data goes bad
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- published: 02 Apr 2015
- views: 718
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1:39
lies, damned lies, and (BIG) bad data
how do we "know?"
published: 24 Nov 2016
lies, damned lies, and (BIG) bad data
lies, damned lies, and (BIG) bad data
- Report rights infringement
- published: 24 Nov 2016
- views: 3
39:31
Big Data, Bad Actors: Lunch Keynote
published: 22 Oct 2015
Big Data, Bad Actors: Lunch Keynote
Big Data, Bad Actors: Lunch Keynote
- Report rights infringement
- published: 22 Oct 2015
- views: 151
11:12
Audience Measurement 2014: Big Data; Bad Decisions
Big Data, Bad Decisions -- Presented by Neena Graham, Maggie Merklin, and Mark Wilson
published: 26 Jun 2014
Audience Measurement 2014: Big Data; Bad Decisions
Audience Measurement 2014: Big Data; Bad Decisions
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- published: 26 Jun 2014
- views: 201
30:05
Big bad data - Przemysław Pastuszka
Przemysław Pastuszka is a software programmer and Big Data passionate. Former employee of ...
published: 26 Jan 2015
Big bad data - Przemysław Pastuszka
Big bad data - Przemysław Pastuszka
- Report rights infringement
- published: 26 Jan 2015
- views: 202
15:24
Cloud Computing for BCM and Big Data – The Good, The Bad and The Ugly
Cloud Computing for BCM and Big Data – The Good, The Bad and The Ugly
published: 24 Oct 2016
Cloud Computing for BCM and Big Data – The Good, The Bad and The Ugly
Cloud Computing for BCM and Big Data – The Good, The Bad and The Ugly
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- published: 24 Oct 2016
- views: 1
1:24
Part 2: Businesses collect a plethora of data , but do they act on it?
Big, bad data – when will you blow my house down? Examining issues of trust, governance, e...
published: 04 Nov 2015
Part 2: Businesses collect a plethora of data , but do they act on it?
Part 2: Businesses collect a plethora of data , but do they act on it?
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- published: 04 Nov 2015
- views: 37
2:21
Part 4: Data collection policies and governance
Big, bad data – when will you blow my house down? Examining issues of trust, governance, e...
published: 04 Nov 2015
Part 4: Data collection policies and governance
Part 4: Data collection policies and governance
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- published: 04 Nov 2015
- views: 8
2:14
Part 5: A micro biome of data as a result of the digitization of everything
Big, bad data – when will you blow my house down? Examining issues of trust, governance, e...
published: 04 Nov 2015
Part 5: A micro biome of data as a result of the digitization of everything
Part 5: A micro biome of data as a result of the digitization of everything
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- published: 04 Nov 2015
- views: 21
2:18
Part 6: The need for a solid business case for big data collection
Big, bad data – when will you blow my house down? Examining issues of trust, governance, e...
published: 04 Nov 2015
Part 6: The need for a solid business case for big data collection
Part 6: The need for a solid business case for big data collection
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- published: 04 Nov 2015
- views: 18
5:01
Big Data as Fast As Possible
Your data is being collected by corporations and governments, but is "big data" inherently...
published: 03 Aug 2014
Big Data as Fast As Possible
Big Data as Fast As Possible
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- published: 03 Aug 2014
- views: 222489
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53:46
Big Bad Data?
You are leaving digital footprints online. And those footprints are increasingly valuable ...
published: 15 Mar 2012
Big Bad Data?
Big Bad Data?
- Report rights infringement
- published: 15 Mar 2012
- views: 3872
35:43
Voice of Appraisal E17 Big Data..Good?..Bad?...or Really Ugly!!
Phil breaks down the cost of the American Dream and weighs in on BIG DATA!!!!
published: 15 Jul 2014
Voice of Appraisal E17 Big Data..Good?..Bad?...or Really Ugly!!
Voice of Appraisal E17 Big Data..Good?..Bad?...or Really Ugly!!
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- published: 15 Jul 2014
- views: 635
34:09
Chris Taggart - Tackling Big Bad Data in Banking
APIs are disrupting industries from the inside and from the outside. These software interf...
published: 05 Jan 2016
Chris Taggart - Tackling Big Bad Data in Banking
Chris Taggart - Tackling Big Bad Data in Banking
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- published: 05 Jan 2016
- views: 20
1:12:33
This Week in Enterprise Tech 26: Seriously Good POS
Big data goes bad, life is a POS, network monitoring, and more.
published: 21 Jan 2013
This Week in Enterprise Tech 26: Seriously Good POS
This Week in Enterprise Tech 26: Seriously Good POS
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- published: 21 Jan 2013
- views: 442
59:08
Joe Ford - DNB60 Mix
Joe Ford's DNB60 mix, first broadcast on BBC Radio 1 & 1Xtra on 05.05.15.
Subscribe: https...
published: 04 Dec 2015
Joe Ford - DNB60 Mix
Joe Ford - DNB60 Mix
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- published: 04 Dec 2015
- views: 6210
30:48
The Ultimate RWBY Dance Party, Volume 2: Dedicated to Monty Oum
RWBY is created by Monty Oum, and the property of Rooster Teeth Productions. This video is...
published: 08 May 2015
The Ultimate RWBY Dance Party, Volume 2: Dedicated to Monty Oum
The Ultimate RWBY Dance Party, Volume 2: Dedicated to Monty Oum
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- published: 08 May 2015
- views: 35512
56:40
Good, Bad, or Bull$#*! #155 - Big Data (Livestream Edition!)
This livestream edition of the Good, Bad, or Bull$#*! podcast for your viewing pleasure, w...
published: 23 Jun 2016
Good, Bad, or Bull$#*! #155 - Big Data (Livestream Edition!)
Good, Bad, or Bull$#*! #155 - Big Data (Livestream Edition!)
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- published: 23 Jun 2016
- views: 18
30:20
#47 - Datron 1071 7.5-digit multimeter repair
A vintage metrology grade meter was repaired, calibrated and tested for stability. Not muc...
published: 25 Aug 2016
#47 - Datron 1071 7.5-digit multimeter repair
#47 - Datron 1071 7.5-digit multimeter repair
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- published: 25 Aug 2016
- views: 3169
Big Bad Data?...
Voice of Appraisal E17 Big Data..Good?..Bad?...or ...
Chris Taggart - Tackling Big Bad Data in Banking...
This Week in Enterprise Tech 26: Seriously Good PO...
Joe Ford - DNB60 Mix...
The Ultimate RWBY Dance Party, Volume 2: Dedicated...
Good, Bad, or Bull$#*! #155 - Big Data (Livestream...
#47 - Datron 1071 7.5-digit multimeter repair...
See more photos of big bad data
-
Lyrics list:lyrics
-
1.0 - EP, Big Data
1.0 - EP
How could you know, how could you know'
That those were my eyes
Peepin through the floor, it's like they know
It's like they know I'm looking from the outside
And creeping to the door, it's like they know
And now they coming, yeah, now they coming
Out from the shadows
To take me to the court because they know
That I shut this down, cause they been watching all my windows
They gathered up the cause they-
You understand, they got a plan for us
I bet you didn't know that I was dangerous
It must be fate, I found a place for us
I bet you didn't know someone could love you this much
How could they know, how could they know
What I been thinking'
Like they're right inside my head because they know
Because they know, what I been hidin'
They're right under my bed, they're in control
Here they come, yeah here they come
Out of the shadows
To take me to the club because they know
That I shut this down, cause they been watching all my windows
They gathered up the warrant 'cause they-
And I've gotta get out of here
Sink down, into the dark
Keep on running
And I've gotta get out of here, (keep on running)
Sink down, into the dark
You understand, they got a plan for us
I bet you didn't know that I was dangerous
It must be fate, I found a place for us
I bet you didn't know someone could love you this much
Nobody's listening when we're alone
Nobody's listening, there's nobody listening,
No one can hear us when we're alone,
No one can hear us, no, no one can hear us
And I've gotta get out of here
Sink down, into the dark
Keep on running
And I've gotta get out of here
Keep on running
Sink down, into the dark
You understand, they got a plan for us
I bet you didn't know that I was dangerous
It must be fate, I found a place for us
I bet you didn't know someone could love you this much
back
Russia Warns Other States Against Interfering in South China Sea Dispute - Envoy
Edit Sputnik 08 Feb 2017
Russia avoids interfering in the territorial dispute around the South China Sea and is warning other states against doing so as such intervention could result in a negative effect, Russian Ambassador to China Andrey Denisov said ... ....
back
Donald Trump says he was surprised being US President was such a big job
Edit The Independent 08 Feb 2017
Donald Trump has said he was surprised at how big a job the presidency is ... 27 show all ....
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How And Why Evangelical Populists Absolve The Sins Of Donald Trump
Edit WorldNews.com 08 Feb 2017
Article by WN.com Correspondent Dallas DarlingHistory might not absolve the sins of a Trump presidency, but Evangelical Populists will. To be sure, President Donald Trump and Evangelicals share a populist heritage dating back to colonial time, including a need for constant approval – or disapproval depending on who and what they oppose – in their efforts to convince others of their convictions ... Wade ruling ... Demers. Denver, Colorado ... 219. ....
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Warren violates arcane rule, sparking Senate dustup
Edit Boston Herald 08 Feb 2017
WASHINGTON — Sen. Elizabeth Warren has earned a rare rebuke by the Senate for quoting Coretta Scott King on the Senate floor. The Massachusetts Democrat ran afoul of the chamber's arcane rules by reading a three-decade-old letter from Dr. Martin Luther King's widow that dated to Sen. Jeff Sessions' failed judicial nomination three decades ago ... Still, top Senate Republican Mitch McConnell invoked the rules ... Warren argued ... ....
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Melania Trump Seeks $150M in Damages over Reports She Worked as an Escort
Edit Chosun Ilbo 07 Feb 2017
U.S. First Lady Melania Trump has re-filed a defamation lawsuit against the company that publishes the Daily Mail's website, saying an article posted there in August 2016 harmed her ability to earn millions of dollars during a time when she would be "one of the most photographed women in the world."... ....
Managing Big Data’s Big Risks
Edit Project Syndicate 08 Feb 2017
In the last 15 years, we have witnessed an explosion in the amount of digital data available – and in the computer technologies used to process it. But while Big> Data will undoubtedly deliver important scientific, technological, and medical advances, we must not lose sight of four major risks ... ....
Shocking: Smart TV Manufacturer Vizio Spies On Customers Using Advanced Big Data Analytics
Edit Forbes 08 Feb 2017
A big data scandal has just been revealed. US smart TV manufacturer Vizio has been using advanced big data and image processing capabilities to spy on their customers, identify what programmes they were watching second by second ... ....
Latin America Big Data and Analytics Market, Forecast to 2022
Edit Market Watch 08 Feb 2017
The Big> Data and Analytics (BDA) market is gaining space in Latin America region, AND companies are becoming more familiar with the concepts and the benefits of implementing BDA solutions ... There are countless discussions around the "3 Vs" of Big Data and Analytics—volume, velocity, and most importantly, value ... - What is the current status of Big Data in Argentina, Brazil, Chile, Colombia, Mexico, and Peru?....
Bsquare to Present at the Big Data, IoT and Machine Learning in Oil and Gas Conference
Edit Market Watch 08 Feb 2017
8, 2017 /PRNewswire/ -- Bsquare BSQR, +0.00% a gold sponsor at Energy Conference Network's Big> Data, IoT & Machine Learning in Oil and Gas show in Calgary, Alberta, will deliver a presentation illustrating how a complete IoT strategy can help businesses maximize equipment uptime ... Bsquare at Big Data, IoT & Machine Leaning in Oil and Gas.....
RBI deputy says 'bad bank' could help if designed right
Edit Yahoo Daily News 08 Feb 2017
MUMBAI (Reuters) - The Reserve Bank of India (RBI)deputy governor on Wednesday joined the debate over creating a so-called "bad bank" to handle record sour assets in the nation's banks, saying it could help if "designed properly" ... About two dozen state-owned lenders, which own nearly 70 percent of India's banking assets, have an even higher stressed-loan ratio of 15.88 percent, according to data compiled by India's central bank....
Blue Medora Expands SelectStar Monitoring to Big Data Analytics Clusters
Edit Market Watch 08 Feb 2017
With SelectStar, data operations professionals pinpoint and resolve issues faster using a dashboard of an organization's overall data health ... "By presenting a single dashboard for the entire big data deployment, SelectStar helps customers bring their data layer into this decade and increase analytics performance." ... Auto-discovery of Hadoop node managers and data nodes ... SelectStar product page on Big> Data....
Australia wants to jail infosec researchers for pointing out dodgy data
Edit The Register 08 Feb 2017
New law will make criminals of boffins who probe badly-anonymised data. Australia's proposed laws outlawing research into data de-anonymisation look set to proceed after a Senate Committee report landed yesterday complete with just one recommendation. that the bill be passed ... ....
GDPR: Do not resist! Unless you want a visit from the data police
Edit The Register 08 Feb 2017
€20m is srs bsnss so we will keep talking about it. Comment Data was a hot topic last year and it's already big in 2017. Microsoft continues to resist the US government's attempts to get hold of data held in its Irish data centres. But just as it seems to be making progress, the government has won a favourable first instance ruling against Google forcing it to disclose data held outside the USA ... ....
NYU Tandon Governance Lab Helps England's National Health Service Harness Talent to Optimize Big Data
Edit Market Watch 08 Feb 2017
When data are analyzed in a responsible, trusted manner, with a focus on protecting patient privacy, rich insights can be gleaned, with the potential to vastly improve healthcare quality and accessibility ... To view the original version on PR Newswire, visit.http.//www.prnewswire.com/news-releases/nyu-tandon-governance-lab-helps-englands-national-health-service-harness-talent-to-optimize-big-data-300404290.html....
RBI On Bad Bank: Open To All Options
Edit Yahoo Daily News 08 Feb 2017
I don’t think a bad bank just by itself will necessarily work ... The big piece of the problem is - can you get banks to sell the assets at the right price to ARCs and private investors who want to come in? How to get that right price to come in using a portfolio or a bad bank kind of approach? I think that’s going to be key ... Sales of bad loans to ARCs however have remained slow....
LISTEN: Big data and data analytics to bring efficiency
Edit Moneyweb 08 Feb 2017
New technology will drive the cost of doing business down significantly - Dennis Gibson, chief technical officer - Black and Veatch ... ....
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