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
Paul C. Zikopoulos (Toronto, Canada) is a Database Specialist with the DB2 Sales Support team at IBM. He has written numerous magazine articles and books about DB2. Most recently, he co-authored the books A DBA's Guide to Databases on Linux (Syngress Media) and DB2 for Dummies (IDG Books). Zikopoulos is a DB2 Certified Advanced Technical Expert (DRDA and Cluster/EEE) and a DB2 Certified Solutions Expert (Business Intelligence and Database Administration).
Inhaltsangabe
Front Matter PART 1: The Big Deal about Big Data Chapter 1 What is Big Data? Hint: You re a Part of it Every Day Chapter 2 Why Is Big Data Important Chapter 3 Why IBM for Big Data PART II: Big Data: From the Technology Perspective Chapter 4 All About Hadoop: The Big Data Lingo Chapter Chapter 5 InfoSphere BigInsights Analytics for Big Data at Rest Chapter 6 IBM InfoSphere Streams Analytics for Big Data in Motion
