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  • Google Acquires Nest: Big Data Comes to Energy

    Google has acquired Nest, maker of smart thermostat and smoke detectors, for $3.2 billion in cash, making it another major data source that will help Google understand how people live.

  • JSON-LD Reaches W3C Recommendation Status

    The W3C RDF Working Group has moved the JSON-LD and JSON-LD 1.0 Processing Algorithms and API standards forward to recommended status. JSON-LD is a standard to add "linked data" semantics to JSON.

  • New InfoQ Feature: Follow Your Favorite Topics with RSS

    For 2014 we have made topic pages available through RSS, so you can be using your RSS reader to follow your favorite topics.

  • QCon London in 4 weeks; Top Tracks, Sessions, and Speakers (Mar 4-8, 2014)

    The eighth annual QCon London (March 3-7) will feature in-depth presentations and case studies from NASA, Netflix, Twitter, The Financial Times, Etsy, and others. Hear industry practitioners on topics like Architecture, DevOps, Performance & Scalability, Agile, Java, and more. The conference schedule is now final and live. Register by Feb 5th and save £149.

  • Unsafe at any Speed; Oracle Surveys community about promoting sun.misc.Unsafe

    Oracle software engineer Paul Sandoz is asking the public to weigh in on the controversial library sun.misc.Unsafe by responding to a Survey Monkey survey. The debate centers around whether Unsafe, under scrutiny due to its divergence from the Java credo of safe memory management, should be mainstreamed.

  • Open Source Active Directory Libraries for iOS and Android

    Microsoft is offering previews of libraries for accessing Azure Active Directory for iOS and Android. These libraries are being released on github under the Apache 2 license.

  • What to Expect From HTTP/2

    In a recent blog posting Mark Nottingham, chair of the HTTP/2 Working Group, gives his opinion on 9 things to expect in the next version of the Web standard which is rapidly nearing completion and implementations are starting to appear.

  • Spark, Storm and Real Time Analytics

    Hadoop is definitely the platform of choice for Big Data analysis and computation. While data Volume, Variety and Velocity increases, Hadoop as a batch processing framework cannot cope with the requirement for real time analytics. Spark, Storm and the Lambda Architecture can help bridge the gap between batch and event based processing.

  • Google Sells Motorola to Lenovo

    Google has sold Motorola Mobility to Lenovo for $2.91B, and keeps most of the patents in their portfolio while Lenovo gets 2,000 patents. Google may lose money on this deal but the Android ecosystem benefits.

  • Greg Young on Using Complex Event Processing

    Complex Event Processing, CEP, can be very useful for problems that have to do with time e.g. querying over historical data when you want to correlate things that have happened at different times, Greg Young explained in a recent presentation.

  • Functional Relational Mapping Library Slick 2.0 Released

    Version 2.0 of Slick, a Functional-Relational Mapping, FRM, library for Scala, (corresponding to an Object-Relational Mapper, ORM, for object-oriented languages), was recently released with a code generator for reverse-engineering a database schema and new driver architecture to allow support for non-SQL databases.

  • Presto-as-a-Service: Interactive SQL Queries on AWS

    Presto, a technology from Facebook enabling interactive SQL queries on petabytes of data, has now taken a first step into mainstream adoption. Big Data startup Qubole has launched its Presto-as-a-Service alpha with integration to Amazon Web Services.

  • Documentation in Agile: How Much and When to Write It?

    The Manifesto for Agile Software Development values "working software over comprehensive documentation". This core value asks us to think about how much and which kinds of documents are needed and when they need to be written.

  • What Is Going on with PaaS?

    Despite huge investments and years in development, PaaS has not managed to attract many customers so far. This article digests what several analysts are saying regarding the current status of PaaS and its future.

  • Big Data: Do Languages Really Matter?

    Big Data is a field where even a single millisecond loss can be significant over billions of events. Yet, languages often regarded as slow like Python have gained a lot of popularity in the past year. Recent articles and discussions in the Big Data community have started reigniting the debate around the choice of a programming language for data science and Big Data.

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