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Understanding big data : by Paul C. Zikopoulos...[et al] analytics for enterprise class Hadoop and streaming data /

Material type: TextPublication details: Noida McGraw Hill Education 2015Description: xxxi,141p. : 22cm(pbk) illISBN:
  • 9789339221270
  • 9339221273
Subject(s): DDC classification:
  • 005.74
Summary: "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."-- |c Page 4 of cover.
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Item type Current library Collection Call number Copy number Status Barcode
English Books D.B.Act.Division Non-fiction 005.74 UND (Browse shelf(Opens below)) 1 Not For Loan EN-97898

"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."-- |c Page 4 of cover.

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