Performance and Capacity Implications for Big Data

Performance and Capacity Implications for Big Data

January 2014



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 RedpaperTM 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.


This paper was produced by a team of specialists from around the world working together with the International Technical Support Organization, Poughkeepsie Center.

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

Editors: Renny Barrett, Matthew Gillard, John Shepherd, Robert T. Tatum
Reviewers: James Cristofero, Tom Farrell, Nin Lei, Melinda Mullett, Ji Deng Wang, VickiWojcik, Kun Yang


© Copyright International Business Machines Corporation 2014. All rights reserved.

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