Addressing Data Volume, Velocity, and Variety with IBM InfoSphere Streams V3.0

An IBM Redbooks publication




Abstract

There are multiple uses for big data in every industry—from analyzing larger volumes of data than was previously possible to driving more precise answers, to analyzing data at rest and data in motion to capture opportunities that were previously lost. A big data platform will enable your organization to tackle complex problems that previously could not be solved using traditional infrastructure.

As the amount of data available to enterprises and other organizations dramatically increases, more and more companies are looking to turn this data into actionable information and intelligence in real time. Addressing these requirements requires applications that are able to analyze potentially enormous volumes and varieties of continuous data streams to provide decision makers with critical information almost instantaneously.

IBM® InfoSphere® Streams provides a development platform and runtime environment where you can develop applications that ingest, filter, analyze, and correlate potentially massive volumes of continuous data streams based on defined, proven, and analytical rules that alert you to take appropriate action, all within an appropriate time frame for your organization.

This IBM Redbooks® publication is written for decision-makers, consultants, IT architects, and IT professionals who will be implementing a solution with IBM InfoSphere Streams.

Table of contents

Chapter 1. Think big with big data
Chapter 2. Exploring IBM InfoSphere Streams
Chapter 3. InfoSphere Streams architecture
Chapter 4. IBM InfoSphere Streams V3.0 new features
Chapter 5. InfoSphere Streams deployment
Chapter 6. Application development with Streams Studio
Chapter 7. Streams integration considerations
Chapter 8. IBM InfoSphere Streams administration
Appendix A. Installing InfoSphere Streams
Appendix B. IBM InfoSphere Streams security considerations
Appendix C. Commodity purchasing application demonstration




Profile

Publish Date
12 March 2013


Rating:
(based on 2 reviews)


Author(s)

ISBN-10
0738437808

ISBN-13
9780738437804

IBM Form Number
SG24-8108-00

Number of pages
320