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

Zikopoulos, Paul; Eaton, Chris

Softcover

ISBN 10: 0071790535 ISBN 13: 9780071790536

Verlag: McGraw-Hill Education, 2012

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Reseña del editor:

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

Biografía del autor:

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).

Über diese Auflage

• Verlag: McGraw-Hill Education
• Erscheinungsdatum: 2012
• ISBN 10: 0071790535
• ISBN 13: 9780071790536
• Einband: Paperback
• Anzahl der Seiten: 176