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April 2013

In-memory analytics tools and big data: A potent mix?

Sponsored by SearchBusinessAnalytics

Big data can become a key competitive weapon for organizations -- if they can successfully implement systems and processes for analyzing their growing vaults of both structured and unstructured data. In-memory analytics tools are one possible avenue to go down. Doing data analysis in memory reduces disk I/O bottlenecks and increases analytical flexibility, two potential pluses in pursuing big data analytics. In this handbook, readers will learn about the benefits and challenges of mixing big data and in-memory analytics; they’ll also get advice on deciding whether the in-memory approach is right for their organizations and tips on building a technology architecture that can support in-memory processing.

About The Author

Beth Stackpole - Contributor

As a veteran business and technology reporter, Beth Stackpole ...Read More

Table Of Contents

  • In-memory analytics tools pack big data punch
  • In-memory, big data combo needs solid IT foundation
  • Faster analytics speed not enough on in-memory apps

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