• 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.

    ITKE376,290 pointsBadges:
  • Hortonworks optimizes Apache Hadoop performance

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

    ITKE376,290 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.

    ITKE376,290 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 Pariseau8,220 pointsBadges:
  • Is Spark the next MapReduce?

    Nicole Laskowski3,480 pointsBadges:
  • Apache Spark in-memory prowess ignites interest in big data circles

    Data scientists look to Apache Spark to ask the really big data questions and get answers faster.

    Nicole Laskowski3,480 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 Burns2,080 pointsBadges:
  • Apache Incubator

    Apache Incubator is the starting point for projects and software seeking to become part of the Apache Software Foundation’s efforts. The ASF is a non-profit organization that oversees the development of Apache software.

    Margaret Rouse10,840 pointsBadges:
  • Apache Giraph

    Apache Giraph is real-time graph processing software that is mostly used to analyze social media data. Giraph was developed by Yahoo! and given to the Apache Software Foundation for future management.

    Margaret Rouse10,840 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 Vaughan4,005 pointsBadges:

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