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Understanding big data : analytics for enterprise class Hadoop and streaming data /

"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,...

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書目詳細資料
主要作者: Zikopoulos, Paul
格式: Printed Book
出版: New Delhi McGraw-Hill 2015
主題:
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245 0 0 |a Understanding big data :  |b analytics for enterprise class Hadoop and streaming data /  |c Paul C. Zikopoulos & Chris Eaton 
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300 |a xxxi, 141 pages :  |b illustrations ; 
520 |a "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."-- 
650 0 |a Electronic data processing  |9 49469 
650 0 |a File organization (Computer science)  |9 49470 
650 0 |a Data mining.  |9 49471 
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