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

Download or Read eBook Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data PDF written by Paul Zikopoulos and published by McGraw Hill Professional. This book was released on 2011-10-22 with total page 176 pages. Available in PDF, EPUB and Kindle.
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Author :
Publisher : McGraw Hill Professional
Total Pages : 176
Release :
ISBN-10 : 9780071790543
ISBN-13 : 0071790543
Rating : 4/5 (43 Downloads)

Book Synopsis Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data by : Paul Zikopoulos

Book excerpt: 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


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