Data Analytics

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  • SNW Spring 2012 – Information Infrastructure for a Customer-Focused, Always-On World

    By: John Webster, 2012-04-09

    John Webster’s presentation from SNW spring 2012 in Dallas, Texas. Description: Big Data Analytics differs from traditional data warehousing in that it encompasses diverse data formats including unstructured data. A number of platforms have emerged including Hadoop and NoSQL that now address these diverse formats as data sources for analytics processes. Primary storage for these

  • NetApp’s Open Solution for Hadoop

    By: John Webster, 2012-01-04, 0.00, Free

    Apache Hadoop has gained considerable attention from the enterprise IT community as a data analytics alternative to traditional BI systems and data warehousing. And while this is not the only alternative currently available, it has become highly visible. However, with heightened visibility comes heightened scrutiny. Hadoop’s shortcomings have also become more visible to enterprise IT

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  • SNW Fall 2011 Presentation: Shared Storage for Shared Nothing

    By: John Webster, 2011-10-14, 0.00, Free

    We’re seeing dramatic growth in the use of Big Data database architectures (Hadoop MapReduce for example). While these are best known in the context of web-based applications and development activities, they are no longer confined to the web. Cloudera, EMC Greenplum, IBM Netezza, NoSQL, and ParAccel are all examples of database architectures that are being

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  • Understanding Big Data Analytics — A SearchStorage Article by John Webster

    By: John Webster, 2011-08-24, 0.00, Free

    Now that the cloud computing bandwagon is out of gas, vendors have jumped on the next one to roll down the pike: Big Data. And as with previous hype cycles, Big Data is now a source of confusion for users as vendors put forth their own unique and often conflicting definitions of the term. The

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  • Directions on Storage for “Big Data” Applications

    By: John Webster, 2011-08-19, Free

    In a summary of articles from CNet/Data-Driven, John Webster highlights the future of storage supporting “Big Data Storage” and “Big Data Analytics&#

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  • The Big Data Landscape

    By: John Webster, 2011-07-17, Free

    Now that cloud computing bandwagon is out of gas, vendors have jumped on the next one to roll down the pike: Big Data. And as with previous hype cycles, Big Data is now a source of confusion for users as vendors put forth their own unique and often conflicting definitions. The most common source of

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  • Big Data Analytics – Can SAN/NAS Meet the Demand?

    By: John Webster, 2011-06-19, Free

    The practitioners of Big Data Analytics processes are generally hostile to shared storage. They prefer direct-attached storage (DAS) in its various forms from solid state disk (SSD) to high capacity SATA disk buried inside parallel processing nodes. The perception of shared storage architectures—SAN and NAS—is that they are relatively slow, complex, and above all, expensive.

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  • Big Data: How New Analytic Systems will Impact Storage

    By: John Webster, 2011-04-22, Free

    John Webster's presentation from SNW 2011 on Big Data Analytics and the impact on Storage

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  • Greenplum Data Computing Appliance – An appliance for big data analysis and real-time decision making

    By: John Webster, 2010-10-01, Free

    Discussion on Big Data Analytics and EMC's Greenplum announcement

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  • EMC Acquisition of Greenplum, EMC Builds a Data Computing Division

    By: John Webster, 2010-08-01, $50.00

    On July 6, 2010 EMC announced it will acquire GreenPlum, a data warehousing and business analytics software firm in an all-cash transaction. This document summarizes the details and discusses the market implications