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Tom Banks on the IBM WebSphere Application Server Liberty Profile

Interview with Tom Banks on  Mar 07, 2014

When he reaches out to developers, Tom Banks tells them about cool new technologies they can implement. Using these cool new things they can do with IBM technology to try to make them think a little bit outside the box when it comes to enterprise software. So that they can innovate using IBM software and these new spaces created with their WebSphere Application Server Liberty Profile.


Jeremy Pollack of on Test-driven Development and More

Interview with Jeremy Pollack on  Feb 15, 2014

Hadoop, the distributive file system and MapReduce are just a few of the topics covered in this interview recorded live at QCon San Francisco 2013. Industry-standard Agile implementation and a lot of testing, assures the development team at that they have an app that can handle the large traffic demands of the popular genealogy site.


Developer Evangelist Jon Gottfried on App Development with Twilio

Interview with Jon Gottfried on  Jan 20, 2014

Developer Evangelist Jon Gottfried of Twilio discusses the ins and outs of adding voice and SMS messages with Twilio's RESTful API. Learn about adding Twilio's telephony features like sending and receiving text messages to and from your mobile or web app.


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.


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.


Machine Learning Netflix Style with Xavier Amatriain

Interview with Xavier Amatriain on  Dec 09, 2013

Xavier Amatriain discusses how Netflix uses specialized roles, including that of the Data Scientist and Machine Learning Engineer, to deliver valuable data at the right time to Netflix' customer base through a mixture of offline, online, and nearline data processes. Xavier also discusses what it takes to become a Machine Learning Engineer and how to gain real experience in the field.


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.


Sadek Drobi on Functional Programming and the Web, Fixing CMS with

Interview with Sadek Drobi on  Oct 16, 2013

Sadek Drobi explains the benefits of functional programming for the web. Also: improving CMS by separating content from representation and how implements ideas from functional DBs and Git.


Matt Debergalis on Meteor

Interview with 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.


Big Data's Role in Etsy's Product Development

Interview with Nell Thomas on  Mar 04, 2013

Etsy's approach to big data has been to give the entire organization visibility to different sources of data generated by their product as well as access to the experts who know how to use it. Nell Thomas explains her role at Etsy and how Etsy's view of big data has shaped its product's evolution.


Emil Eifrem on NoSQL, Graph Databases, and Neo4j

Interview with Emil Eifrem on  Feb 01, 2013 1

Emil Eifrem looks back at the history of Neo4j, an open-source, NoSQL graph database supported by Neo Technology. He describes some real world applications of graphs, domain modelling with graphs, and compares the performance of graph and relational databases. He also examines how Neo4j differs from other NoSQL and graph databases in the market and describes various Neo4j licensing options.


The Larger Purpose of Big Data with Pavlo Baron

Interview with Pavlo Baron on  Jan 30, 2013

Big Data means more than just the size of a dataset. Pavlo Baron explains different ways of applying Big Data concepts in various situations: from analytics, to delivering content, to medical applications. His larger vision for Big Data ranges from specialized Data Scientists, to learning Decision Support Systems, to helping mankind itself.

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