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The big machine: creating value out of machine-driven big data

Summary:

If your organization doesn’t have a strategy for big data now, you will need one in the future. This paper explains how business executives working with their CTOs or CIOs and other tech management can use big data within their organizations. It explains what big data is and how it differs from traditional business intelligence. The different considerations executives should take into account as they plan their big data strategies are also discussed. For example, is it better to build your own system or to buy one? Should you run your system on premises or in the cloud? Finally, the paper also includes examples of how some companies are putting their operational data to creative use.

  1. Table of contents
  2. About Dave Ohara
  3. About GigaOM Pro
  4. Executive summary
    1. Audience
  5. Big data, big opportunity
  6. What is big data?
    1. The structure and scale of big data
    2. Data as a byproduct of operations
    3. Understanding machine data
  7. Your data tells a story
    1. Approaches
  8. Considerations
  9. Trends and opportunities
  10. Key takeaways
  11. Further reading and resources

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