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Rich Hickey on Datomic: Datalog, Databases, Persistent Data Structures

Interview with Rich Hickey on  Apr 04, 2012

Rich Hickey explains the ideas behind the Datomic database: why Datalog is used as the query language, the functional programming concepts at its core, the role of time in the DB and much more.

Attila Szegedi on JVM and GC Performance Tuning at Twitter

Interview with Attila Szegedi on  Feb 09, 2012 3

Attila Szegedi talks about performance tuning Java and Scala programs at Twitter: how to approach GC problems, the importance of asynchronous I/O, when to use MySQL/Cassandra/Redis, and much more.

Hadoop and NoSQL in a Big Data Environment

Interview with 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

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.

Brian Foote on the State of OOP, Refactoring, Code Quality

Interview with Brian Foote on  Jan 11, 2012 1

Brian Foote looks back at the promises of OOP and discusses which, if any, of them became reality. Also: a look at NoSQL, refactoring and code quality, testing and static typing and more.

Graeme Rocher on Grails 2.0 and Polyglot Persistence

Interview with Graeme Rocher on  Jan 03, 2012

In this interview recorded at JavaOne 2011 Conference, Srini Penchikala talks to Grails project lead Graeme Rocher about Grails 2.0 features, polyglot persistence paradigm and how Grails supports it. Graeme also talks about the tool support and the upcoming features in Grails 3.0 release.

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.

Orion Henry on Heroku, Doozer and Paxos, Ruby

Interview with Orion Henry on  Aug 17, 2011 1

Orion Henry explains what make Heroku's PaaS tick, in particular the new extensible Cedar stack as well as Doozer, the implementation of the Paxos algorithm created at Heroku.

Justin Sheehy and Damien Katz on Riak and CouchDB

Interview with Justin Sheehy and Damien Katz on  Aug 05, 2011

Justin Sheehy and Damien Katz discuss Riak and CouchDB, the strengths and trade-offs of different approaches to NoSQL, and why both databases are written in Erlang.

Erlang Inventors Talk Language Future

Interview with Joe Armstrong and Robert Virding on  May 18, 2011

In this interview Joe Armstrong and Robert Virding, co-inventors of the Erlang language, talk about the future of the language, including its use in web programming, its ability to scale and more. The duo also discuss Erlang support for NoSQL databases, running the language on the Java Virtual Machine (JVM) and comparisons with other languages such as Google’s Go.

Hilary Mason on bit.ly and Trending Clickstreams

Interview with Hilary Mason on  Jan 20, 2011

Hilary Mason, interviewed by Ryan Slobojan, discuss the engineering behind bit.ly and their use of machine learning in their system architecture. Hilary also talks about their use of MySQL and MongoDB to manage terabytes of information about users and clicks and their implications on performing real-time analysis of anthropology on the human condition.

What’s Next for jclouds?

Interview with Adrian Cole on  Dec 23, 2010

Adrian Cole discusses his jclouds project, which is an open source library that helps Java developers get started in the cloud and reuse their Java development skills. Cole also talks about some of the challenges of creating a cloud agnostic library, such as the use of different hypervisors and that various cloud implementations are written in different languages, such as VB, Python, Ruby, etc.

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