• Apache Spark goes 1.0, looks to improve on MapReduce performance

    The Apache Software Foundation released Version 1.0 of Spark, a processing framework aimed at outpacing MapReduce for machine learning and other uses.

    Jack Vaughan4,525 pointsBadges:
  • Hadoop security, Spark top list of 2015 Data Mill columns

    We've rounded up the top five most popular Data Mill columns in 2015, which touched on bimodal IT, automation and Apache Spark.

    Nicole Laskowski4,085 pointsBadges:
  • Hortonworks optimizes Apache Hadoop performance

    Hortonworks has recently introduced new products to help enhance Apache Hadoop performance.

    ITKE407,380 pointsBadges:
  • Talend 5.6 adopts Apache Storm and Spark for real-time BI

    A German company vies with the likes of Amazon by adding Apache Storm and Spark to its portfolio, along with Talend 5.6 data integration.

    Jack Vaughan4,525 pointsBadges:
  • Apache Storm

    Storm is a free and open source (FOSS) distributed real-time computation system developed by the Apache Foundation.

    Margaret Rouse18,235 pointsBadges:
  • Apache Spark trumps MapReduce in speed, flexibility

    The processing engine’s in-memory computing layer can supposedly run batch-processing programs 100 times faster. Does the vendor hype equal user adoption?

    Jack Vaughan4,525 pointsBadges:
  • Cloud versions of Apache Spark offer simplicity

    Spark Summit 2015 brought announcements that data scientists and other users will soon have two cloud-hosted options to run the big data framework. This podcast takes a deeper look.

    Ed Burns2,485 pointsBadges:
  • Microsoft Power BI in Convergence spotlight; Apache Spark draws interest

    While Power BI took center stage at Microsoft Convergence, many users are struggling with CRM basics. Also: insight on the Spark processing engine.

    ITKE407,380 pointsBadges:
  • The latest trends in the Hadoop project

    In this podcast, Tim Hall of Hortonworks discusses the Apache Hadoop project and how it has changed since its inception.

    ITKE407,380 pointsBadges:
  • Amazon Elastic MapReduce moves forward with Apache Spark

    Amazon Elastic MapReduce has embraced Apache Spark, reflecting an industry shift around big data analytics.

    Beth Pariseau8,865 pointsBadges:

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