Understanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data

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.

Understanding Big Data  Analytics for Enterprise Class Hadoop and Streaming Data

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, 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

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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Language: en
Pages: 176
Authors: Paul Zikopoulos, Chris Eaton
Categories: Computers
Type: BOOK - Published: 2011-10-22 - Publisher: McGraw Hill Professional

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
Machine Learning and Artificial Intelligence
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Internet of Things and Big Data Analytics Toward Next-Generation Intelligence
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Authors: Nilanjan Dey, Aboul Ella Hassanien, Chintan Bhatt, Amira S. Ashour, Suresh Chandra Satapathy
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Effective Big Data Management and Opportunities for Implementation
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The era of rapidly progressing technology we live in generates vast amounts of data; however, the challenge exists in understanding how to aggressively monitor and make sense of this data. Without a better understanding of how to collect and manage such large data sets, it becomes increasingly difficult to successfully

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