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

  • Category: Computer
  • Author: Paul Zikopoulos, Chris Eaton, Dirk DeRoos, Tom Deutsch, George Lapis
  • Pages: 176 pages
  • File type: PDF (3.38 MB)

Read and download free eBook intituled Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data in format PDF (3.38 MB) – 176 pages created by Paul Zikopoulos, Chris Eaton, Dirk DeRoos, Tom Deutsch, George Lapis.

 

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.

In this book, 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. Deployment and scaling strategies plus industry use cases are also included in this practical guide.

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

 

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