Understanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data

This book PDF is perfect for those who love Computers genre, written by Paul Zikopoulos and published by McGraw Hill Professional which was released on 22 October 2011 with total hardcover pages 176. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Understanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data books below.

Understanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data
Understanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data
Author : Paul Zikopoulos
File Size : 47,7 Mb
Publisher : McGraw Hill Professional
Language : English
Release Date : 22 October 2011
ISBN : 9780071790543
Pages : 176 pages
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Understanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data by Paul Zikopoulos Book PDF Summary

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

Understanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data

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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

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