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Top 5 Challenges for Hadoop MapReduce in the Enterprise

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Data warehousing can no longer support the modern enterprise's reporting and analysis needs because it can't process the massive volume of unstructured business data that is now being generated. The MapReduce programming framework, along with new unstructured data storage techniques, has emerged as a new way to extract analytical insights from this "big data."

While MapReduce technology provides a game-changing foundation for big data analytics, it's not intended for enterprise use, so three distinct approaches to adapt it for enterprise use have become popular.

Read this white paper to learn more about your options for enabling big data analytics. Inside, discover:

  • Why the MapReduce framework itself won't fulfill your enterprise needs
  • The pros and cons of the three main big data analytics solutions: Apache Hadoop, commercial open source, and in-data warehouse analytics
  • Five challenges for Hadoop MapReduce in the enterprise
  • And more!
Vendor:
IBM
Posted:
30 Nov 2012
Published:
31 May 2012
Format:
PDF
Length:
12 Page(s)
Type:
White Paper
Language:
English

This resource is no longer available.