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

Paul C. Zikopoulos

ISBN 10: 0071790535 / ISBN 13: 9780071790536

Editore: McGraw-Hill Osborne Media, 2011

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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.

Codice articolo M00071790535-V

Dati bibliografici

• Titolo: Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
• Editore: McGraw-Hill Osborne Media
• Data di pubblicazione: 2011
• Lingua: Inglese
• ISBN 10: 0071790535
• ISBN 13: 9780071790536
• Rilegatura: Brossura
• Condizione: very good

Descrizione articolo

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