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McKnight: When to invest in an in-memory DBMS

Consultant William McKnight talks about the potential uses of in-memory databases and the processing benefits they can provide to organizations.

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The Data Management Maturity Model this way comes

A Carnegie Mellon University off-shoot applies maturity model techniques to big data. Cross-group communications are a key. The result is the Data Management Maturity Model.

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Data industry expert discusses unstructured data governance

Data industry veteran Anne Marie Smith discusses pressing issues, including the barriers to unstructured data governance. Part one in a series on data matters.

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Data lake concept eyes Hadoop as prime destination

Hadoop vendors are pushing an approach that puts the distributed processing framework at the center of data management architectures. But some issues could sink the idea.

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    McKnight: When to invest in an in-memory DBMS

    Consultant William McKnight talks about the potential uses of in-memory databases and the processing benefits they can provide to organizations.

  • Get Started

    Data lake concept eyes Hadoop as prime destination

    Hadoop vendors are pushing an approach that puts the distributed processing framework at the center of data management architectures. But some issues could sink the idea.

  • Get Started

    New talent management software transforming HR

    Human resources departments have long been associated with rubber stamps and reams of paper forms. But new talent management software -- technology that helps organizations recruit, compensate, evaluate and train workers -- is lifting them out of ...

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    The Data Management Maturity Model this way comes

    A Carnegie Mellon University off-shoot applies maturity model techniques to big data. Cross-group communications are a key. The result is the Data Management Maturity Model.

  • Database management system (DBMS) software and technology

    Data lake concept eyes Hadoop as prime destination

    Hadoop vendors are pushing an approach that puts the distributed processing framework at the center of data management architectures. But some issues could sink the idea.

  • Data warehouse project management

    Agile BI, data warehousing still gathering steam

    At the TDWI Executive Summit in Boston, users talked about the benefits and challenges of incorporating the Agile methodologies long practiced in development circles into data warehouse and business intelligence projects.

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