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Integrating Hadoop
Engleski
47 b
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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 its in the cluster; Utilizing Spark, streaming data, and master data in Hadoop processes - examples are provided to reinforce concepts.
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