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19:59

Chris Mattmann on Big Data Infrastructure for Scientific Data Processing

Posted by Chris Mattmann on  Apr 15, 2014

Chris Mattmann explains the type and magnitude of data produced in scientific projects like the Square Kilometer Array Telescope, the tools to use for scientific data processing and much more.

29:34

Trisha Gee on MongoDB, Java 8, and What Excites Her About Writing Software

Posted by Trisha Gee on  Apr 05, 2014

In this interview, recorded at QCon London 2014, Trisha Gee talks to Charles Humble about MongoDB, her work on the Java driver, her development set-up, what she’s interested in in Java 8, and what excites her about writing software.

22:35

Matt Debergalis on Meteor

Posted by Matt Debergalis on  Aug 21, 2013

Matt DeBergalis explains Meteor, a JavaScript application platform, how Meteor ties the client and the server together with WebSockets, the DB integration with MongoDB, reactivity, and more.

Debasish Ghosh on Functional Programming, NoSQL

Posted by Debasish Ghosh on  Oct 26, 2012 3

Debasish Ghosh talks about the advantages of functional programming and how its abstractions help to reason about code, Monads, DSLs, NoSQL and MongoDB, and much more.

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.

Justin Sheehy and Damien Katz on Riak and CouchDB

Posted by 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

Posted by 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

Posted by 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.

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.

Justin Sheehy on Riak

Posted by Justin Sheehy on  Aug 04, 2010

Justin Sheehy explains how Riak was created with ideas from Amazon's Dynamo paper, Riak features and how Riak compares to other NoSQL solutions.

Dan Lucraft on NoSQL DBs with Rails and the Design of JRuby-based Editor RedCar

Posted by Dan Lucraft on  Jul 19, 2010

Dan Lucraft talks about working with MongoDB and using asynchronous observers with Rails. Also: the design of the JRuby/SWT/HTML/Javascript-based, extensible editor RedCar.

Damien Katz Relaxing on CouchDB

Posted by Damien Katz on  Nov 23, 2008 2

In this interview, Damien Katz talks about CouchDB, a distributed, fault tolerant, document oriented database developed by Apache Incubator. CouchDB is written in Erlang, and the database is accessed through an HTTP/JSON API. The database view engine is run on JavaScript, but other languages have been used like Ruby and Python.

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