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Archiving in Hadoop:
Benefits and costs

Becoming a data-driven enterprise is increasingly no longer a choice but a necessity. Businesses are constantly accumulating new data, either due to regulatory requirements or for their own purposes. But due to the high costs and falling value of data over time, all of it can’t be stored in an active form at all times – it must be archived.

In this e-book you will learn about:

  • The challenges to becoming a data-driven enterprise
  • What are the alternatives to standard enterprise storage solutions
  • Hadoop as a Big Data solution and its applications
  • Using Hadoop with machine learning algorithms
  • The benefits of archiving your data in Hadoop
  • Why and How is Hadoop better

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