• January 03, 2018 03 Jan'18

    Apache Hadoop 3.0 goes GA, adds hooks for cloud and GPUs

    Is this the post-Hadoop era? Not in the eyes of Hadoop 3.0 backers, who see the latest update to the big data framework succeeding in machine learning applications and cloud systems.

  • December 01, 2017 01 Dec'17

    AWS graph database Amazon Neptune sets sail at re:Invent 2017

    After Cyber Monday, Amazon Web Services techies headed for re:Invent 2017. There, among a deluge of cloud product announcements by AWS, the Amazon Neptune graph database surfaced.

  • December 01, 2017 01 Dec'17

    Apache Impala gets top-level status as open source Hadoop tool

    Born at Cloudera, the MPP query engine known as Apache Impala has become a top-level open source project. It's one of various tools bringing SQL-style interactivity to big data analytics.

  • October 30, 2017 30 Oct'17

    Connectedness is king, as Neo4j graph database ports to Spark

    The Neo4j graph database emphasizes easy relationship mapping for diverse data points. Now, its related Cypher query language is hooking into Apache Spark.

  • October 05, 2017 05 Oct'17

    Big data systems up ante on data quality measures for users

    At the Strata conference in New York, IT managers detailed steps they're taking to improve data quality in their big data environments in order to help ensure analytics accuracy.

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  • September 28, 2017 28 Sep'17

    MapR-DB uses NoSQL to drive real-time analytics

    The Strata conference in New York saw big data platform vendor MapR Technologies update MapR-DB, its NoSQL database engine, to better perform in real-time analytics applications.

  • September 26, 2017 26 Sep'17

    Bank sees ETL processes evolve from IT to front-line users

    ETL jobs -- once the sole province of IT -- take on a new form as data wrangling and self-service gain greater traction with business users of analytics.

  • September 06, 2017 06 Sep'17

    Energy partnership drills down on data quality issues

    Breitburn Energy Partners employed data quality tools to address the business pain of bad data, using the software to give end users the means to fix data quality issues themselves.

  • August 31, 2017 31 Aug'17

    Confluent's Kafka data-streaming framework gets 'SQL-ized'

    SQL on Hadoop arrived -- so did SQL on Spark. Now, SQL on Kafka is emerging to provide a different way to look at Kafka data as it streams through the enterprise.

  • August 30, 2017 30 Aug'17

    Big data vendors, users see Hadoop stack from different sides

    In this Talking Data podcast, TechTarget editors discuss Hadoop's future, IBM's decision to resell the Hortonworks distribution of the open source technology and other big data issues.

  • July 31, 2017 31 Jul'17

    Apache Arrow to power startup Dremio's self-service data platform

    Data management startup Dremio has aimed its Apache Arrow expertise at the problem of self-service data delivery. In-column caches and optimization speed queries across varied data stores.

  • July 24, 2017 24 Jul'17

    Chief data officer jobs call for nurturing data ethos in companies

    In many organizations, chief data officer jobs centered on defense against risk are giving way to ones emphasizing innovation. To do so, CDOs must nurture a data culture, MIT panelists said.

  • July 10, 2017 10 Jul'17

    MongoDB 'Charts' a way to dashboard visualization from its database

    MongoDB targets better dashboard visualization with MongoDB Charts, which adds another means for business users trying to look into their NoSQL data pools.

  • June 30, 2017 30 Jun'17

    Agile database development spurs changes in data tech, DBA roles

    The quest for the agile database is putting developers in the forefront and has some DBA tasks moving to the development groups, according to panelists at a conference in Boston.

  • June 29, 2017 29 Jun'17

    Data governance crucial to comply with EU's GDPR legislation

    With the EU's new General Data Protection Regulation looming on the horizon, companies -- including many in the U.S. -- need to get going on required data governance upgrades.