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    Integrating Hadoop (English Edition)

    Por William McKnight

    Sobre

    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.

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