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Synopsis
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
"synopsis" may belong to another edition of this title.
About the Authors
Paul C. Zikopoulos (Toronto, Canada) is a Database Specialist with the DB2 Sales Support team at IBM. He has written numerous magazine articles and books about DB2. Most recently, he co-authored the books A DBA's Guide to Databases on Linux (Syngress Media) and DB2 for Dummies (IDG Books). Zikopoulos is a DB2 Certified Advanced Technical Expert (DRDA and Cluster/EEE) and a DB2 Certified Solutions Expert (Business Intelligence and Database Administration).
McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide
"About this title" may belong to another edition of this title.
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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
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McGraw-Hill Osborne Media, 2011
ISBN 10: 0071790535
ISBN 13: 9780071790536
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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Published by
McGraw-Hill Osborne, 2011
ISBN 10: 0071790535
ISBN 13: 9780071790536
Used
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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Published by
McGraw-Hill Osborne, 2011
ISBN 10: 0071790535
ISBN 13: 9780071790536
Used
Softcover
First Edition
Seller: Better World Books, Mishawaka, IN, U.S.A.
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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
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Paperback. Condition: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Seller Inventory # 6545-9780071790536
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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Published by
McGraw-Hill Osborne Media, 2011
ISBN 10: 0071790535
ISBN 13: 9780071790536
Used
Softcover
Seller: medimops, Berlin, Germany
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Condition: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. Seller Inventory # M00071790535-V
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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
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ISBN 10: 0071790535
ISBN 13: 9780071790536
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Softcover. Condition: As New. Leichte Abnutzungen. 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. Seller Inventory # dc4c2176-8a42-4c1b-b318-1fcdb22cbad9
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