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Integrating Hadoop

By: William McKnight, Jake Dolezal
Narrated by: Randal Schaffer
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Publisher's summary

Integrating Hadoop leverages the discipline of data integration and applies it to the Hadoop open-source software framework for storing data on clusters of commodity hardware. It is packed with the need-to-know for managers, architects, designers, and developers responsible for populating Hadoop in the enterprise, allowing you to harness big data and do it in such a way that the solution:

  • Complies with (and even extends) enterprise standards
  • Integrates seamlessly with the existing information infrastructure
  • Fills a critical role within enterprise architecture.

Integrating Hadoop covers the gamut of the setup, architecture, and possibilities for Hadoop in the organization, including:

  • Supporting an enterprise information strategy
  • Organizing for a successful Hadoop rollout
  • Loading and extracting of data in Hadoop
  • Managing Hadoop data once it's in the cluster
  • Utilizing Spark, streaming data, and master data in Hadoop processes - examples are provided to reinforce concepts.

©2016 William McKnight (P)2016 Technics Publications, LLC
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