Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Author(s)
Zikopoulos, IBM, Paul
Eaton, Chris
Zikopoulos, Paul
Zikopoulos, IBM, Paul
Eaton, Chris
Zikopoulos, Paul
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.--p. 4 Of Cover Paul C. Zikopoulos ... [et Al.].
Name in long format: | Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data |
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ISBN-10: | 0071790535 |
ISBN-13: | 9780071790536 |
Book pages: | 176 |
Book language: | en |
Edition: | 1 |
Binding: | Paperback |
Publisher: | McGraw-Hill Osborne Media |
Dimensions: | Height: 9 Inches, Length: 6 Inches, Weight: 0.5291094288 Pounds, Width: 0.4 Inches |