• March 16, 2016 16 Mar'16

    Social media startup uses NoSQL Redis Cloud to 'scale to infinity'

    Because of growing data demands, and the need to nimbly scale up and down, a startup social networking platform chose a Redis Labs NoSQL database management system running on AWS.

  • March 02, 2016 02 Mar'16

    Hortonworks Hadoop distribution goes to two release tracks

    Looking to better balance system stability and innovation, Hadoop distribution provider Hortonworks will follow two release 'cadences' for different component sets in its HDP package.

  • February 29, 2016 29 Feb'16

    Apache Spark architecture speeds data jobs, ousts MapReduce

    Its collection of big-data processing features is priming the Apache Spark architecture for wider deployment. One key trait: Spark performance outpaces MapReduce in many Hadoop use cases.

  • February 24, 2016 24 Feb'16

    AtScale Benchmarks Three SQL-on-Hadoop Engines

    Numerous SQL-on-Hadoop engines are available for accessing data stored in HDFS using the familiar SQL language. They all look promising, they all support a rich SQL dialect, but which ones is the ...

  • February 24, 2016 24 Feb'16

    Spark Streaming update to address growing torrent of big data

    Amid the buzz at Spark Summit East 2016 in New York was word that the Spark data processing engine's stream processing architecture will be overhauled in the upcoming version 2.0 of the open source software.

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  • February 04, 2016 04 Feb'16

    HR metrics and analytics bring opportunity, concerns

    HR personnel oversee many of the perks that come with a job, such as paychecks and benefits; the elements that most people would rather avoid, such as firings and employee conflicts; and all things in between, such as education and training. Now, ...

  • February 04, 2016 04 Feb'16

    SQL-on-Hadoop platforms open brave new analytics world

    Hadoop has been slowly plodding through the big data jungle, but SQL's integration may put a spring in the elephant's step.

  • February 03, 2016 03 Feb'16

    NoSQL revs up to the tune of the Spark connector

    Attention's been placed on Spark running on Hadoop, but there are Spark connectors for NoSQL that usher in a new class of operational analytics.

  • January 29, 2016 29 Jan'16

    Data quality metrics a governance must, managers say

    Data governance managers who spoke during an online conference said that tracking business-oriented metrics on data quality improvement is a key to success in governance efforts.

  • January 28, 2016 28 Jan'16

    Co-creator Cutting assesses Hadoop future, present and past

    In a Q&A as Hadoop reaches one 10-year milestone in its development, co-creator Doug Cutting talks about the adoption of the big data framework, and the history and future of Hadoop.

  • January 27, 2016 27 Jan'16

    Geospatial data is on the map for Hadoop, Spark

    Software architect Mansour Raad is at the center of activity as geospatial data melds with Hadoop -- and soon, Spark.

  • January 14, 2016 14 Jan'16

    MapR adds 'Streams' messaging to its Hadoop data pipeline

    MapR's Hadoop distribution will add a message system to feed a streaming data pipeline. It takes a cue from open-source Kafka technology.

  • December 29, 2015 29 Dec'15

    Data governance process taxed by self-service BI, big data

    The increasing adoption of self-service business intelligence tools and big data analytics applications is complicating data governance programs, BI Leadership Summit speakers and attendees said.

  • December 28, 2015 28 Dec'15

    IBM Watson APIs hold key to broader cognitive computing use

    In 2015, APIs for IBM's Watson system were front and center as a means to bring cognitive computing applications to a broader corporate audience.

  • December 21, 2015 21 Dec'15

    Spark: It's the word of the year in 2015 for data analytics

    This episode of the 'Talking Data' podcast looks at the word of the year in data analytics and management. In 2015, Spark joined Hadoop and MapReduce at the top of the list of trending big data technologies.