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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.

Hadoop and NoSQL in a Big Data Environment

Posted by Ron Bodkin on  Feb 03, 2012

Ron Bodkin of Big Data Analytics discusses early adoption of Hadoop, NoSQL and big data technologies. He discusses common patterns and explains how developers can write low-level primitives to optimize MapReduce function. Other topics include Hive, Pig, multi tenancy, and security.

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.

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.

Rob Pike on Parallelism and Concurrency in Programming Languages

Posted by Rob Pike on  Feb 17, 2011 3

Rob Pike discusses concurrency in programming languages: CSP, channels, the role of coroutines, Plan 9, MapReduce and Sawzall, processes vs threads in Unix, and more programming language history.

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.

Laforge and Rocher Discuss the future of Groovy, Grails and Java

Posted by Graeme Rocher and Guillaume Laforge on  Dec 03, 2010

In this interview, Graeme Rocher and Guillaume Laforge of SpringSource talk about the present and future of the Grails framework and the Groovy language. Rocher talks about Grails 1.4 and some of its enhancements such as improvements to GORM. And Laforge discusses Groovy 1.8, which features new DSL authoring capabilities, among other things. They look at how Java’s future impacts their projects.

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