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Data Integration Blueprint and Modeling: Techniques for a Scalable and Sustainable Architecture by Anthony David Giordano

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Preface

This text provides an overview on data integration and its application in business analytics and data warehousing. As the analysis of data becomes increasingly important and ever more tightly integrated into all aspects of Information Technology and business strategy, the process to combine data from different sources into meaningful information has become its own discipline. The scope of this text is to provide a look at this emerging discipline, its common “blueprint,” its techniques, and its consistent methods of defining, designing, and developing a mature data integration environment that will provide organizations the ability to move high-volume data in ever-decreasing time frames.

Intended Audience

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