[PDF.92om] Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
IBM, Paul Zikopoulos, Chris Eaton, Paul Zikopoulos
[PDF.bi12] Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Understanding Big Data: Analytics IBM, Paul Zikopoulos, Chris Eaton, Paul Zikopoulos epub Understanding Big Data: Analytics IBM, Paul Zikopoulos, Chris Eaton, Paul Zikopoulos pdf download Understanding Big Data: Analytics IBM, Paul Zikopoulos, Chris Eaton, Paul Zikopoulos pdf file Understanding Big Data: Analytics IBM, Paul Zikopoulos, Chris Eaton, Paul Zikopoulos audiobook Understanding Big Data: Analytics IBM, Paul Zikopoulos, Chris Eaton, Paul Zikopoulos book review Understanding Big Data: Analytics IBM, Paul Zikopoulos, Chris Eaton, Paul Zikopoulos summary
| #2068081 in Books | 2011-10-19 | Original language:English | PDF # 1 | 9.00 x.40 x6.00l,.53 | File type: PDF | 176 pages||4 of 4 people found the following review helpful.| An IBM Sales Pitch|By Harry R.|This book has some good information on the need for big data analytics and a high-level description of Hadoop and the Hadoop ecosystem. But half of the chapters are devoted to IBM's Hadoop offering and the other chapters are filled with reasons that the IBM solution should be considered.
If you are looking for a book that will point yo|About the Author|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 (S
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...
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