PART I
Big Data: From the Business Perspective
1 What Is Big Data? Hint: You’re a Part of It Every Day
Can There Be Enough? The Volume of Data
How Fast Is Fast? The Velocity of Data
Data in the Warehouse and Data in Hadoop (It’s Not a Versus Thing)
When to Consider a Big Data Solution
Big Data Use Cases: Patterns for Big Data Deployment
They Said What? The Social Media Pattern
The Call Center Mantra: “This Call May Be Recorded for Quality Assurance Purposes”
Risk: Patterns for Modeling and Management
Big Data and the Energy Sector
Big Data Has No Big Brother: It’s Ready, but Still Young
What Can Your Big Data Partner Do for You?
The IBM $100 Million Big Data Investment
A History of Big Data Innovation
PART II
Big Data: From the Technology Perspective
4 All About Hadoop: The Big Data Lingo Chapter
Just the Facts: The History of Hadoop
The Hadoop Distributed File System
Application Development in Hadoop
5 InfoSphere BigInsights: Analytics for Big Data at Rest
Ease of Use: A Simple Installation Process
Hadoop Components Included in BigInsights 1.2
A Hadoop-Ready Enterprise-Quality File System: GPFS-SNC
Extending GPFS for Hadoop: GPFS Shared Nothing Cluster
What Does a GPFS-SNC Cluster Look Like?
GPFS-SNC Hadoop Gives Enterprise Qualities
DB2 for Linux, UNIX, and Windows
R Statistical Analysis Applications
Improved Workload Scheduling: Intelligent Scheduler
Data Discovery and Visualization: BigSheets
Advanced Text Analytics Toolkit
6 IBM InfoSphere Streams: Analytics for Big Data in Motion
Industry Use Cases for InfoSphere Streams
The Streams Processing Language