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19:59

Chris Mattmann on Big Data Infrastructure for Scientific Data Processing

Posted by Chris Mattmann on  Apr 15, 2014

Chris Mattmann explains the type and magnitude of data produced in scientific projects like the Square Kilometer Array Telescope, the tools to use for scientific data processing and much more.

31:20

Nathan Marz on Storm, Immutability in the Lambda Architecture, Clojure

Posted by Nathan Marz on  Apr 06, 2014

Nathan Marz explains the ideas behind the Lambda Architecture and how it combines the strengths of both batch and realtime processing as well as immutability. Also: Storm, Clojure, and much more.

30:52

Jeremy Pollack of Ancestry.com on Test-driven Development and More

Posted by Jeremy Pollack on  Feb 15, 2014

Hadoop, the distributive file system and MapReduce are just a few of the topics covered in this interview recorded live at QCon San Francisco 2013. Industry-standard Agile implementation and a lot of testing, assures the development team at Ancestry.com that they have an app that can handle the large traffic demands of the popular genealogy site.

29:36

Cliff Click on In-Memory Processing, 0xdata H20, Efficient Low Latency Java and GCs

Posted by Cliff Click on  Jan 10, 2014 1

Cliff Click explains 0xdata's H20, a clustering and in-memory math and statistics solution (available for Hadoop and standalone), writing H20's memory representation and compression in Java, low latency Java vs GCs, and much more.

14:01

Machine Learning Netflix Style with Xavier Amatriain

Posted by Xavier Amatriain on  Dec 09, 2013

Xavier Amatriain discusses how Netflix uses specialized roles, including that of the Data Scientist and Machine Learning Engineer, to deliver valuable data at the right time to Netflix' customer base through a mixture of offline, online, and nearline data processes. Xavier also discusses what it takes to become a Machine Learning Engineer and how to gain real experience in the field.

27:41

Eva Andreasson on Hadoop, the Hadoop Ecosystem, Impala

Posted by Eva Andreasson on  Nov 11, 2013 1

Eva Andreasson explains the various Hadoop technologies and how they interact, real-time queries with Impala, the Hadoop ecosystem including Hue, Oozie, YARN, and much more.

13:18

Big Data's Role in Etsy's Product Development

Posted by Nell Thomas on  Mar 04, 2013

Etsy's approach to big data has been to give the entire organization visibility to different sources of data generated by their product as well as access to the experts who know how to use it. Nell Thomas explains her role at Etsy and how Etsy's view of big data has shaped its product's evolution.

18:43

The Larger Purpose of Big Data with Pavlo Baron

Posted by Pavlo Baron on  Jan 30, 2013

Big Data means more than just the size of a dataset. Pavlo Baron explains different ways of applying Big Data concepts in various situations: from analytics, to delivering content, to medical applications. His larger vision for Big Data ranges from specialized Data Scientists, to learning Decision Support Systems, to helping mankind itself.

Erik Meijer on Big Data, Types of Data Stores and Reactive Programming

Posted by Erik Meijer on  Jan 04, 2013 1

Erik Meijer explains the various aspects needed to categorise data stores, how reactive programming fits in with databases, the return to data transformation, denotational semantics, and much more.

Eli Collins on Hadoop

Posted by Eli Collins on  Aug 17, 2012

Eli Collins discusses Cloudera's CDH4 release, which tasks are well suited for Hadoop, Hadoop and MapReduce vs SQL, the state of Hadoop, and much more.

Stuart Halloway on Datomic, Clojure, Reducers

Posted by Stuart Halloway on  Aug 15, 2012

Stuart Halloway explains Datomic, programming transactional behavior with Datomic, Datalog and logic programming, programming with values, Clojure Reducers and much more.

Max Sklar on Machine Learning at Foursquare

Posted by Max Sklar on  Aug 09, 2012

Max Sklar talks about machine learning at Foursquare, the use of Bayesian Statistics and other methods to build Foursquare's recommendation system and much more.

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