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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Book Title: | Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data |
Author: | Paul Zikopoulos |
ISBN-13: | 9789339221270 |
Publication: | McGraw Hill Education |
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Overview of Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data Book
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. Book 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 guideTable of Contents: Part I: The Big Deal about Big Data Chapter 1: What is Big Data? Hint: You're a Part of it Every Day Chapter 2: Why Is Big Data Important Chapter 3: Why IBM for Big DataPart II: Big Data: From the Technology Perspective Chapter 4: All About Hadoop: The Big Data Lingo Chapter Chapter 5: InfoSphere BigInsights - Analytics for Big Data at Rest Chapter 6: IBM InfoSphere Streams - Analytics for Big Data in Motion
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ComputerScience
Paperback
English
176 pages
9339221273
1 Jul 2017
Students and Professionals:Textbooks, ComputerScience
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