Peter Cnudde on How Yahoo Uses Hadoop, Deep Learning and Big Data Platform by Posted on Oct 13, 2016
Data Lake-as-a-Service: Big Data Processing and Analytics in the Cloud by Posted on Dec 10, 2015
Elixir in Action Review and Q&A with the Author by Posted on Aug 08, 2015
Big Data as a Service, an Interview with Google's William Vambenepe by Posted on Jul 06, 2015
F# Deep Dives Review and Author Q&A by Posted on Feb 18, 2015
Book Review and Interview: The Practice of Cloud System Administration by Posted on Dec 18, 2014
Designing a Highly Available, Fault Tolerant, Hadoop Cluster with Data Isolation by Posted on Dec 16, 2014
Interview with Alex Holmes, author of “Hadoop in Practice. Second Edition” by Posted on Nov 20, 2014
Matt Schumpert on Datameer Smart Execution by Posted on Nov 13, 2014
John Langford on Vowpal Wabbit, Used by MSN, and Machine Learning in Industry
Aug 19, 2016
Machine learning research scientist John Langford talks to QCon chair Wesley Reisz about his ML system Vowpal Wabbit used for news personalisation on MSN. They also discuss how to get started in the field and its shift from academic research to industry use.
Caitie McCaffrey on Engineering Effectiveness and Verifying Distributed Systems
Jul 22, 2016
Caitie McCaffrey talks about engineering effectiveness, approaching diversity, and verification of distributed systems at QCon New York 2016.
InfoQ eMag: Hadoop
Apache Hadoop is proving useful in deriving insights out of large amounts of data, and is seeing rapid improvements. Hadoop 2 now goes beyond Map-Reduce; it is more modular, pluggable and flexible and it fits a variety of use cases better. We explore this as well as some tools that can help utilize Hadoop better.
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