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Featured E-Handbooks

  • In-memory databases: The golden ticket to deeper analyses?

    Historically, in-memory databases have been seen as a niche technology. As in-memory processing becomes less expensive and more mainstream, however, potential uses are expanding. And, with the promise of deeper data analysis -- and, better business benefits -- IT professionals' ears are pricking up. Still, for many organizations it's going to be a matter of if, and not when, to proceed with implementation.

    To that end, SearchDataManagement editors have compiled a three-part guide to in-memory database trends, serving up expert advice on evaluating, deploying and managing the technology. Readers can expect an in-depth look at whether in-memory appliances such as SAP's HANA and Oracle's Exalytics devices are changing the nature of what in-memory database technology can be used for. Next, News and Site Editor Jack Vaughan offers a rundown of the kinds of applications that are a good fit for in-memory databases, with tips on how to decide if the technology is right for your organization. We close with key insight into the capabilities and potential uses of new in-memory options being released for mainstream relational databases.

    Download Now

  • How to be successful with enterprise data governance

    Successful data governance programs can help ensure that organizations have consistent policies and processes for defining, managing and using corporate data. But many data governance efforts miss the mark and fall short of those goals. This three-part guide, written for IT and data management professionals as well as business executives, will provide readers with tips and advice on how to avoid the missteps that can lead to enterprise data governance failures. Learn about data governance best practices and not-so-best practices, and get real-world guidance from organizations that are succeeding with data governance.

    Download Now

Other E-Handbooks available for free to our members

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      • Taking stock of Hadoop 2

        The release of Hadoop 2 seems to be all that prospective users and industry analysts can talk about. If you think all that chatter has translated into widespread adoption, you're wrong. The release -- a possible answer to calls for a "hardened" Hadoop -- adds features that enable users to expand the open source distributed processing framework beyond its original core configuration of MapReduce and the Hadoop Distributed File System.

        In this handbook, IT managers, data management staffers and other readers will benefit from in-depth analysis of the new capabilities, potential uses and limitations of Hadoop 2 and related technologies. For readers still unsure about what to do with the open source software, this handbook offers insight into Hadoop 2 -- complete with a close look at YARN, Hadoop's redesigned resource manager.

        View E-Handbook
      • Putting a data stewardship and data governance plan into play

        Confused about the data stewardship processes for big data, cloud computing and other IT trends? Don’t be. In this handbook is valuable information on the pivotal role technology plays in governance initiatives -- as well as other useful tips for data management professionals and business executives.

        View E-Handbook
      • Strategies for kick-starting your data quality program

        In this handbook, readers will find quality advice on balancing manual and automated data quality processes as part of quality improvement efforts, as well as tips on building a business case for purchases of data quality tools. Readers can look forward to insider guidance on combining data quality improvement initiatives with data governance and master data management programs.

        View E-Handbook
      Page 1 of 1
    • Page 1 of 1
      • Taking stock of Hadoop 2

        The release of Hadoop 2 seems to be all that prospective users and industry analysts can talk about. If you think all that chatter has translated into widespread adoption, you're wrong. The release -- a possible answer to calls for a "hardened" Hadoop -- adds features that enable users to expand the open source distributed processing framework beyond its original core configuration of MapReduce and the Hadoop Distributed File System.

        In this handbook, IT managers, data management staffers and other readers will benefit from in-depth analysis of the new capabilities, potential uses and limitations of Hadoop 2 and related technologies. For readers still unsure about what to do with the open source software, this handbook offers insight into Hadoop 2 -- complete with a close look at YARN, Hadoop's redesigned resource manager.

        View E-Handbook
      •  
      Page 1 of 1
    • Page 1 of 1
      • Putting a data stewardship and data governance plan into play

        Confused about the data stewardship processes for big data, cloud computing and other IT trends? Don’t be. In this handbook is valuable information on the pivotal role technology plays in governance initiatives -- as well as other useful tips for data management professionals and business executives.

        View E-Handbook
      •  
      Page 1 of 1
    • Page 1 of 1
      • How to be successful with enterprise data governance

        Successful data governance programs can help ensure that organizations have consistent policies and processes for defining, managing and using corporate data. But many data governance efforts miss the mark and fall short of those goals. This three-part guide, written for IT and data management professionals as well as business executives, will provide readers with tips and advice on how to avoid the missteps that can lead to enterprise data governance failures. Learn about data governance best practices and not-so-best practices, and get real-world guidance from organizations that are succeeding with data governance.

        View E-Handbook
      •  
      Page 1 of 1
    • Page 1 of 1
      • Strategies for kick-starting your data quality program

        In this handbook, readers will find quality advice on balancing manual and automated data quality processes as part of quality improvement efforts, as well as tips on building a business case for purchases of data quality tools. Readers can look forward to insider guidance on combining data quality improvement initiatives with data governance and master data management programs.

        View E-Handbook
      •  
      Page 1 of 1
    • Page 1 of 1
      • In-memory databases: The golden ticket to deeper analyses?

        Historically, in-memory databases have been seen as a niche technology. As in-memory processing becomes less expensive and more mainstream, however, potential uses are expanding. And, with the promise of deeper data analysis -- and, better business benefits -- IT professionals' ears are pricking up. Still, for many organizations it's going to be a matter of if, and not when, to proceed with implementation.

        To that end, SearchDataManagement editors have compiled a three-part guide to in-memory database trends, serving up expert advice on evaluating, deploying and managing the technology. Readers can expect an in-depth look at whether in-memory appliances such as SAP's HANA and Oracle's Exalytics devices are changing the nature of what in-memory database technology can be used for. Next, News and Site Editor Jack Vaughan offers a rundown of the kinds of applications that are a good fit for in-memory databases, with tips on how to decide if the technology is right for your organization. We close with key insight into the capabilities and potential uses of new in-memory options being released for mainstream relational databases.

        View E-Handbook
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      Page 1 of 1