InfoQ Homepage Database Content on InfoQ
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Trisha Gee on MongoDB, Java 8, and What Excites Her About Writing Software
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.
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Tom Banks on the IBM WebSphere Application Server Liberty Profile
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.
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Jeremy Pollack of Ancestry.com on Test-driven Development and More
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.
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Developer Evangelist Jon Gottfried on App Development with Twilio
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.
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Cliff Click on In-Memory Processing, 0xdata H20, Efficient Low Latency Java and GCs
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.
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Dean Wampler on Scalding, NoSQL, Scala, Functional Programming and Big Data
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.
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Machine Learning Netflix Style with Xavier Amatriain
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.
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Eva Andreasson on Hadoop, the Hadoop Ecosystem, Impala
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.
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Sadek Drobi on Functional Programming and the Web, Fixing CMS with prismic.io
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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Matt Debergalis on Meteor
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.
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Big Data's Role in Etsy's Product Development
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.
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Emil Eifrem on NoSQL, Graph Databases, and Neo4j
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.