Performance and Capacity Implications for Big Data

An IBM Redpaper publication

Published 15 January 2014, updated 07 February 2014

cover image

ISBN-10: 0738453587
ISBN-13: 9780738453583
IBM Form #: REDP-5070-00
(46 pages)

More options

Rate and comment

Authors: Dave Jewell, Ricardo Dobelin Barros, Stefan Diederichs, Lydia M. Duijvestijn, Michael Hammersley, Arindam Hazra, Corneliu Holban, Yan Li, Osai Osaigbovo, Andreas Plach, Ivan Portilla, Mukerji Saptarshi, Harinder P. Seera, Elisabeth Stahl, Clea Zolotow

Introductory video


Big data solutions enable us to change how we do business by exploiting previously unused sources of information in ways that were not possible just a few years ago. In IBM® Smarter Planet® terms, big data helps us to change the way that the world works.

The purpose of this IBM Redpaper™ publication is to consider the performance and capacity implications of big data solutions, which must be taken into account for them to be viable. This paper describes the benefits that big data approaches can provide. We then cover performance and capacity considerations for creating big data solutions. We conclude with what this means for big data solutions, both now and in the future.

Intended readers for this paper include decision-makers, consultants, and IT architects.

Table of contents

Chapter 1. Introduction
Chapter 2. Big data overview and benefits
Chapter 3. What big data means for performance and capacity
Chapter 4. Performance and capacity for big data solutions today and tomorrow
Chapter 5. Summary

Follow IBM Redbooks

Follow IBM Redbooks