Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Zikopoulos, Paul,Eaton, Chris,Zikopoulos, Ibm, Paul C
ISBN 10: 0071790535 ISBN 13: 9780071790536
Editore: McGraw-Hill Osborne, 2011
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Descrizione:
Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Codice articolo wbb0022652471
Riassunto:
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
Informazioni sugli autori:
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
McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide
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Dati bibliografici
Titolo: Understanding Big Data: Analytics for ...
Casa editrice: McGraw-Hill Osborne
Data di pubblicazione: 2011
Legatura: Brossura
Condizione: Very Good
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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
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Paperback. Condizione: 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. Codice articolo 6545-9780071790536
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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Da: AwesomeBooks, Wallingford, Regno Unito
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Paperback. Condizione: Very Good. Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data 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. Codice articolo 7719-9780071790536
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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Editore:
McGraw Hill Professional, 2011
ISBN 10: 0071790535
ISBN 13: 9780071790536
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Softcover
Da: Bookbot, Prague, Repubblica Ceca
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Softcover. Condizione: 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. Codice articolo dc4c2176-8a42-4c1b-b318-1fcdb22cbad9
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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Editore:
McGraw-Hill Osborne Media, 2011
ISBN 10: 0071790535
ISBN 13: 9780071790536
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Paperback
Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
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Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Codice articolo G0071790535I4N00
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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Editore:
McGraw-Hill Osborne, 2011
ISBN 10: 0071790535
ISBN 13: 9780071790536
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Prima edizione
Da: Better World Books, Mishawaka, IN, U.S.A.
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Condizione: Good. 1st Edition. Used book that is in clean, average condition without any missing pages. Codice articolo 4640355-75
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Foto dell'editore
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Editore:
McGraw-Hill Osborne, 2011
ISBN 10: 0071790535
ISBN 13: 9780071790536
Antico o usato
Brossura
Prima edizione
Da: Better World Books, Mishawaka, IN, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Very Good. 1st Edition. Used book that is in excellent condition. May show signs of wear or have minor defects. Codice articolo 6011814-6
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