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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This book 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. The book covers the gamut of the setup, architecture and possibilities for Hadoop in the organisation, including: Supporting an enterprise information strategy; Organising for a successful Hadoop rollout; Loading and extracting of data in Hadoop; Managing Hadoop data once it is in the cluster; Utilising Spark, streaming data, and master data in Hadoop processes – examples are provided to reinforce concepts.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This book 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. The book covers the gamut of the setup, architecture and possibilities for Hadoop in the organisation, including: Supporting an enterprise information strategy; Organising for a successful Hadoop rollout; Loading and extracting of data in Hadoop; Managing Hadoop data once it is in the cluster; Utilising Spark, streaming data, and master data in Hadoop processes – examples are provided to reinforce concepts.