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

Posted by 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

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.

Viktor Klang on Akka, Futures and Promises, Scala

Posted by 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

Posted by 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

Posted by 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

Posted by 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

Posted by Costin Leau on  Nov 23, 2011 4

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

Posted by 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.

Ville Tuulos on Big Data and Map/Reduce in Erlang and Python with Disco

Posted by Ville Tuulos on  Jun 24, 2011

Ville Tuulos talks about Disco, the Map/Reduce framework for Python and Erlang, real-world data mining with Python, the advantages of Erlang for distributed and fault tolerant software, and more.

Francesco Cesarini and Simon Thompson on Erlang

Posted by Francesco Cesarini and Simon Thompson on  May 26, 2011

Francesco Cesarini and Simon Thompson discuss how Erlang's design allows fault tolerance and resilience, modular error handling, details of the actor model implementation and distributed programming.

ECMAScript 5, Caja and Retrofitting Security, with Mark S. Miller

Posted by Mark S. Miller on  Feb 25, 2011

Mark S. Miller talks about the security considerations of JavaScript and how they are dealt with in ECMAScript 5 and the Caja project. He also mentions issues that have to do with HTML5 and compares the security characteristics of other languages like Java and Scheme.

Ron Bodkin on Big Data and Analytics

Posted by Ron Bodkin on  Jan 27, 2011

Ron Bodkin discusses big data architecture, real-time analytics, batch processing, map-reduce, and data science.

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