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News about databases
  • Startup rethinks databases for the real-time geospatial era

    Even though systems such as Hadoop and Spark can grapple with large amounts of data, their tools for analyzing and parsing this information efficiently and in real-time are still limited. A two-year old Seattle startup called SpaceCurve will release on Tuesday a new database system aimed to speed the process of analyzing location-oriented data as it is being generated.

  • FoundationDB gears up for the Internet of Things

    When the anticipated tsunami of data from the Internet of Things hits the enterprise, FoundationDB's flagship NoSQL database should be ready to handle to deluge.

  • Hadoop successor sparks a data analysis evolution

    If 2014 was the year that Apache Hadoop sparked the big data revolution, 2015 may be the year that Apache Spark supplants Hadoop with its superior capabilities for richer and more timely analysis.

  • HP rolls data analysis tools into the Cloud

    The pool of online data analysis services available for corporate users is about to grow larger, with HP set to offer two of its own, key products as hosted cloud services by early next year.

  • HP plugs the Vertica analytics engine into Hadoop

    Bringing some enterprise rigor to the wild world of big data, Hewlett-Packard has issued a package that will allow organizations to harness HP's Vertica analytical database engine to investigate reams of unstructured data residing in Hadoop systems.

Tutorials about databases
  • 10 more do's and don'ts for faster SQL queries

    Everyone wants faster database queries, and both SQL developers and DBAs can turn to many time-tested methods to achieve that goal. Unfortunately, no single method is foolproof or ironclad. But even if there is no right answer to tuning every query, there are plenty of proven do's and don'ts to help light the way. While some are RDBMS-specific, most of these tips apply to any relational database.

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