Understanding Big Data. Analytics for Enterprise Class Hadoop and Streaming Data
Understanding Big Data. Analytics for Enterprise Class Hadoop and Streaming Data
Chris Eaton, Dirk deRoos, Paul C Zikopoulos, Thomas Deutsch, George Lapis
About this book
"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
Details
- OL Work ID
- OL16797596W
Subjects
Database managementData warehousingApache Hadoop (Computer file)Electronic data processingDistributed processingFile organization (Computer science)Data miningApache Hadoop