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

✍ Scribed by IBM Paul Zikopoulos

• Publisher: McGraw-Hill Education
• Year: 2012
• Tongue: English
• Category: Library

✦ Synopsis

"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."--Page 4 of cover.;1. What is big data? hint : you're a part of it every day -- 2. Why is big data important? -- 3. Why IBM for big data? -- 4. All about hadoop : the big data lingo chapter -- 5. InfoSphere BigInsights : analytics for big data at rest -- 6. IBM InfoSphere streams : analytics for big data in motion

✦ Table of Contents

1. What is big data? hint : you're a part of it every day --
   2. Why is big data important? --
   3. Why IBM for big data? --
   4. All about hadoop : the big data lingo chapter --
   5. InfoSphere BigInsights : analytics for big data at rest --
   6. IBM InfoSphere streams : analytics for big data in motion

✦ Subjects

Data mining;Electronic data processing--Distributed processing;File organization (Computer science);Electronic books;Apache Hadoop (Computer file);Electronic data processing -- Distributed processing