文件名称：Understanding Big Data
文件大小：1.27MB
文件格式：RAR
更新时间：2017-04-11 16:50:21
Big-Data
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data 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 Table of Contents Part I: Big Data: From the Business Perspective 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 Book Details Title: Understanding Big Data Author: Chris Eaton, IBM, Paul Zikopoulos Length: 176 pages Edition: 1 Language: English Publisher: McGraw-Hill Osborne Media Publication Date: 2011-10-19 ISBN-10: 0071790535 ISBN-13: 9780071790536
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MGH.Understanding.Big.Data.0071790535.pdf