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

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

 

Synopses & Reviews

Publisher Comments:

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. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer

Product Details

ISBN:
9780071790536
Author:
Zikopoulos, Paul
Publisher:
McGraw-Hill/Osborne Media
Subject:
Software Engineering - Programming and Languages
Publication Date:
20111031
Binding:
TRADE PAPER
Language:
English

Related Subjects

Business » Computers
Computers and Internet » Computers Reference » General
Computers and Internet » Database » Design
Computers and Internet » Database » General
Computers and Internet » Networking » General
Computers and Internet » Software Engineering » Programming and Languages
Computers and Internet » Software Engineering » Software Management

Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data Used Trade Paper
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