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Understanding Big Data. Analytics for Enterprise Class Hadoop and Streaming Data

  • Chris Eaton,
  • Paul C Zikopoulos,
  • Dirk deRoos,
  • Thomas Deutsch,
  • George Lapis

4.00

1 ratings

"Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data-volume, variety, and velocity-are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide."--p. 4 of cover

Genres

  • Database management
  • Data warehousing
  • Apache Hadoop (Computer file)
  • Electronic data processing
  • Distributed processing
  • File organization (Computer science)
  • Data mining
  • Apache Hadoop
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About the authors

  • Chris Eaton

    born 1971

    4.00

    1 ratings · 10 works

  • Paul C Zikopoulos

    4.00

    1 ratings · 3 works

  • Dirk deRoos

    4.00

    1 ratings · 1 works

  • Thomas Deutsch

    4.00

    1 ratings · 1 works

  • George Lapis

    4.00

    1 ratings · 1 works

Editions

  • Edition cover

    McGraw-Hill

    2012