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News

  • December 02, 2015 02 Dec'15

    Analysts and Data Scientists Need SQL-on-Everything

    Business analysts and data scientists no longer restrict themselves to internally produced data that comes from IT-managed production systems. For their analysis they use all the data they can lay ...

  • November 16, 2015 16 Nov'15

    The Weather Co. buy boosts IBM big data analytics push

    IBM's planned purchase of The Weather Co.'s data operations may be a bellwether event from which data professionals can learn.

  • October 30, 2015 30 Oct'15

    IBM goes all-in on Spark analytics with new service, apps

    At its Insight 2015 conference, IBM featured Apache Spark, releasing a cloud-based Spark service to support analytics applications and detailing Spark use in some of its own tools.

  • October 27, 2015 27 Oct'15

    Dell links with Syncsort to tune Cloudera Hadoop for offloaded ETL

    Dell and others have a new ETL reference architecture. Its purpose is to ease migrations to Cloudera Hadoop. Also: Dell buys EMC; Syncsort is acquired.

  • October 19, 2015 19 Oct'15

    Big data applications to drive Walmart reboot

    We may have outlived the era of killer apps in some part defined by Walmart, but Hadoop big data applications may help the giant's quest for more growth.

  • Sponsored News

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    • Better Together: Hadoop and Your Enterprise Data Warehouse

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  • October 13, 2015 13 Oct'15

    MapR does JSON format; Teradata goes on AWS

    MapR takes JSON format data into Hadoop, while Teradata places its flagship database on AWS.

  • October 12, 2015 12 Oct'15

    Big Data Myth 4: Big Data is Unstructured Data

    Not so long ago I attended a session in which the speaker was very clear on what big data is and what it is not. In his opinion, big data is unstructured data and unstructured data is big data. ...

  • October 07, 2015 07 Oct'15

    Core Hadoop components get more company as vendors diversify

    Tracking 'What is Hadoop?' is getting more complex as the potential components of Hadoop systems increase -- and core elements such as HDFS are augmented by possible alternatives.

  • October 05, 2015 05 Oct'15

    Big Data Myth 3: Big Data is Too Big for SQL

    The third big data myth in this series deals with how big data is defined by some. Some state that big data is data that is too big for a relational database, and with that, they undoubtedly mean a ...

  • September 30, 2015 30 Sep'15

    MongoDB 3.0 rides WiredTiger engine to boost database speeds

    The latest version of MongoDB finds the NoSQL database running on a new WiredTiger storage engine. Better performance and data compression are among MongoDB 3.0's touted benefits.

  • September 30, 2015 30 Sep'15

    DataStax Cassandra moves ahead with Azure deal and graph store

    The DataStax Cassandra engine, officially called DataStax Enterprise, is now Spark-certified. The move is one of several for the NoSQL database on a possible upswing, further evidenced by a new deal with Microsoft.

  • September 28, 2015 28 Sep'15

    Strengthening Data Preparation with Data Virtualization

    Self-service analytics allows users to design and develop their own reports and do their own data analysis with minimal support by IT. Most recently, due to the availability of tools, such as those ...

  • September 22, 2015 22 Sep'15

    Madsen looks at shift in big data analytics applications

    At a TDWI Boston Chapter meeting, Mark Madsen says some notions of information become outdated in the face of big data analytics. This is part one of two.

  • September 22, 2015 22 Sep'15

    New models of processing stalk big data analytics applications

    Operations and big data analytics applications are beginning to blend, causing changes in data strategies, Mark Madsen tells a TDWI Boston Chapter meeting. This is part two of two.

  • September 22, 2015 22 Sep'15

    Big Data Myth 2: Analytics Requires Big data

    In Part 1 of this series on big data myths I indicated that the goal of most big data projects is analytics. In other words, big data systems are almost always developed to improve the analytical ...

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