Data Architecture
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Data Architecture: Building the Data Foundation

Data Architecture: Building the Data Foundation


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About the Book

Data Architecture - Building the Data Foundation is an essential guide for navigating the technology landscape. With innovations like AI, ChatGPT, and data mesh requiring solid data foundations, this book underscores the need for genuine data architecture to ensure data believability and informed decision-making. The book addresses the instability of current data foundations and the potential for disastrous decisions, emphasizing the importance of aligning data architecture with business value. It examines the chaotic legacy of vendor-driven data systems and discusses integrating legacy data into a cohesive architecture, always driven by business value. The role of the data architect is discussed as a strategic, technologically adept position for long-term planning. The authors address diverse data transformation needs and the "continental divide" based on data usage and access probability. They explore managing structured, textual, and analog data, advocating for an adaptive approach to change. The importance of structured data for transaction processing, the transformation of textual data for analysis, and extracting value from analog data emphasizes the need for comprehensive data catalogs for data navigation. Knowledgeable support for analysts and the significance of data lineage in tracking data flow and transformations are stressed. Ultimately, the authors demonstrate how robust data architecture enables fact-based decisions and confident use of new technologies, ensuring organizational success.

About the Author :
Bill Inmon, the "father of the data warehouse," has written 60 books published in nine languages. ComputerWorld named Bill one of the ten most influential people in the history of the computer profession. Bill's latest adventure is the building of technology known as textual disambiguation." David Rapien is an Associate Professor - Educator of Information Systems and Business Analytics at the University of Cincinnati's Lindner College of Business. Along with teaching for over 25 years, Dave has developed and managed data integration systems in the Sports Management, Medical, Insurance, Banking, Legal, Horse Racing, and School Administration industries. David owes his success to his wife, Laura, and his four children for their constant support, and to his dad, for teaching him how to explain complex ideas in simple terms.


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Product Details
  • ISBN-13: 9781501521225
  • Publisher: Mercury Learning and Information
  • Publisher Imprint: Mercury Learning and Information
  • Language: English
  • Sub Title: Building the Data Foundation
  • ISBN-10: 1501521225
  • Publisher Date: 01 Mar 2025
  • Binding: Digital (delivered electronically)
  • No of Pages: 200


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