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Data risk management steps for GDPR compliance

By layering data risk management processes into your data governance framework, you can ensure the personally identifiable information your company stores meets GDPR compliance rules.


Collaborative data platform helps AP spread data news

Data journalism reporters need tools that deliver quick context for stories on deadline. A data collaboration platform from helps the Associated Press meet such needs.


Analyst sees GPUs influencing data trends

GPU databases offer a new way to process data. 451 Research analyst James Curtis discusses where they fit in big data applications, particularly for parallel processing.


What features should I look for in a data catalog?

Data catalogs serve as data portals for self-service business analytics users. Learn how the data is curated, what capabilities are included, the market vendors and the benefits.

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    Ready or not, GDPR is here

    Hello, GDPR. May 25 is the witching hour for enforcement of the EU's much-discussed GDPR compliance requirements -- and it's a harbinger of more changes to come.

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    relational database

    A relational database is a set of formally described tables from which data can be accessed or reassembled in many different ways without having to reorganize the database tables.

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    RDBMS (relational database management system)

    A relational database management system (RDBMS) is a collection of programs and capabilities that enable IT teams and others to create, update, administer and otherwise interact with a relational database.

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  • Hadoop framework

    Stream processing meets GDPR

    StreamSets software for inspecting big data brings governance to data in motion. Such capabilities may find more use as the European Union's GDPR deadline looms.

  • Database management system (DBMS) software and technology

    MongoDB 4.0 expands ACID support for documents

    MongoDB is taking a deeper step into SQL-style processing waters with a 4.0 update that brings increased support for ACID-compliant transactions to its NoSQL database.

  • Hadoop framework

    Hadoop 3.0 deepens potential cloud, machine learning reach

    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.