Performance and Capacity Implications for Big Data

Performance and Capacity Implications for Big Data

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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 IBMAr Smarter PlanetAr 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.In many cases, cloud computing provides a flexible model for organizations to scale their big data capabilities, as evidenced by the inclusion of MapReduce in the offerings of Amazon Web Services. However, this needs to be done with carefulanbsp;...

Title:Performance and Capacity Implications for Big Data
Author: 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, IBM Redbooks
Publisher:IBM Redbooks - 2014-02-07

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