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29:36

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

Interview with 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.

24:53

Dean Wampler on Scalding, NoSQL, Scala, Functional Programming and Big Data

Interview with Dean Wampler on  Dec 16, 2013

Dean Wampler explains Scalding and the other Hadoop support libraries, the return of SQL, how (big) data is the killer application for functional programming, Java 8 vs Scala, and much more.

27:41

Eva Andreasson on Hadoop, the Hadoop Ecosystem, Impala

Interview with 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.

16:52

Interview with Barbara Liskov

Interview with Barbara Liskov on  Apr 02, 2013 1

Barbara Liskov keynoted at QCon London 2013 on the power of abstraction. Afterwards, InfoQ caught up with up with her to ask her about language design, modularity and distributed computation.

36:10

Duncan Coutts on Parallelism and Concurrency with Haskell, Distributed Programming with Cloud Haskell

Interview with Duncan Coutts on  Feb 21, 2013

Duncan Coutts explains the nature of Concurrency and Parallelism in Haskell, its threading and STM implementation, Erlang OTP's influence on CloudHaskell for distributed programming, Monads, and more.

Eli Collins on Hadoop

Interview with 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.

Viktor Klang on Akka, Futures and Promises, Scala

Interview with Viktor Klang on  Jun 14, 2012

Viktor Klang talks about the features of Akka 2.x and future releases, Akka's approach to fault tolerance, the effort to unify Futures in Scala, and the state of functional programming.

Big Data Architecture at LinkedIn

Interview with Siddharth Anand on  May 14, 2012 1

In this interview at QCon London, LinkedIn’s Sid Anand discusses the problems they face when serving high-traffic, high-volume data. Sid explains how they’re moving some use cases from Oracle to gain headroom, and lifts the hood on their open source search and data replication projects, including Kafka, Voldemort, Espresso and Databus.

Optimizing for Big Data at Facebook

Interview with Ashish Thusoo on  Apr 17, 2012

Hive co-creator Ashish Thusoo describes the Big Data challenges Facebook faced and presents solutions in 2 areas: Reduction in the data footprint and CPU utilization. Generating 300 to 400 terabytes per day, they store RC files as blocks, but store as columns within a block to get better compression. He also talks about the current Big Data ecosystem and trends for companies going forward.

All things Hadoop

Interview with Ted Dunning on  Feb 02, 2012 2

In this interview Ted Dunning talk about Hadoop, its current usage and its future. He explains the reasons for Hadoop's success and make recommendations on how to start using it.

Costin Leau on Spring Data, Spring Hadoop and Data Grid Patterns

Interview with Costin Leau on  Nov 23, 2011 1

In this interview recorded at JavaOne 2011 Conference, Spring Hadoop project lead Costin Leau talks about the current state and upcoming features of Spring Data and Spring Hadoop projects. He also talks about the Caching and Data Grid architecture patterns.

Jonas Bonér and Kresten Krab Thorup on Bringing Erlang's Fault Tolerance and Distribution to Java with Akka and Erjang

Interview with Jonas Bonér and Kresten Krab Thorup on  Oct 20, 2011

Jonas Bonér and Kresten Krab Thorup discuss some key aspects of Erlang like fault tolerance and reliability and how the Akka and Erjang projects try to bring them to the JVM.

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