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

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Description

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. Salient Features : • The three defining characteristics of Big Data—volume, variety, and velocity—are discussed. • 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.

More Details About Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
General Information
Author(s)Paul Zikopoulos, Chris Eaton, Dirk Deroos, Tom Deutsch and George Lapis
PublisherMcGraw Hill Education (India) Pvt Ltd.
Edition1
ISBN9789339221270
Pages176
BindingSoft Cover
LanguageEnglish
Publish YearJanuary 2015
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