Understanding Big Dât: Ânlytics For Enterprise Class Hadoop And Streaming Dât

Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
By: Paul Zikopoulos
Publisher:
McGraw-Hill Education (Professional)
Print ISBN: 9780071790536, 0071790535
eText ISBN: 9780071790543, 0071790543
Edition: 1st
Copyright year: 2012
Format: EPUB
Available from $ 20.00 USD
SKU: 9780071790543 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 SKU: 9780071790536
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