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The rise in big data analytics, or analysis of unstructured data, has seen the market for this type of technology evolve, and Hadoop has emerged as one of the leading solutions.


  • This report examines the key challenges for capacity planning a Hadoop cluster, and how organizations can improve the efficiency and effectiveness of a Hadoop environment through effective capacity management.

Features and Benefits

  • Learn the key aspects of capacity planning a Hadoop deployment.
  • Understand why Hadoop is different from other environments and learn why capacity management is a key capability that CIOs need to embrace as a continuous and integrated activity.

Key questions answered

  • What makes Hadoop a more complex environment from a capacity management perspective?
  • How can effective capacity management reduce operational costs?

Table of contents


  • Catalyst
  • Ovum view
  • Key messages

Complexity is the major challenge with capacity planning a Hadoop cluster

  • Skills and knowledge is a problem for IT generalists
  • One size does not fit all
  • Key learnings for capacity management of Hadoop clusters


  • Author

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