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.
Nathan Marz explains the ideas behind the Lambda Architecture and how it combines the strengths of both batch and realtime processing as well as immutability. Also: Storm, Clojure, and much more.
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.
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.
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 Ancestry.com that they have an app that can handle the large traffic demands of the popular genealogy site.
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 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 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.
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 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 explains the benefits of functional programming for the web. Also: improving CMS by separating content from representation and how prismic.io implements ideas from functional DBs and Git.
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