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Understanding Big Data : Analytics for Enterprise Class Hadoop and Streaming Data
ISBN: 9780071790536 | 0071790535
Edition: 1stFormat: Paperback
Publisher: McGraw-Hill Osborne Media
Pub. Date: 10/19/2011
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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 BigIn... MORE
Front Matter
PART 1: 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 Data
PART 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
PART 1: 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 Data
PART 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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