Where Does the Data Come From: Managing Data Integration With Source Tagging Capabilities (Classic Reprint) - Hardcover
Synopsis
Discover how data provenance changes everything in federated databases.
This book explains why knowing a data source matters and how source tagging can improve accuracy, trust, and cost planning in complex systems.
In clear, practical terms, it presents a model for managing data integration across multiple databases. It shows how tagging data sources and intermediate sources can help users interpret data correctly, reconcile inconsistencies, and design smarter data systems. Readers will see concrete examples and a step-by-step approach to translating queries into executable plans that respect data origins.- Why source knowledge improves credibility and decision making
- How polygen modeling extends traditional databases to multiple data sources
- Methods for tagging data sources and interpreting data semantics
- A blueprint for translating polygen queries into practical execution plans
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About the Author
About the Editor:
Stuart E. Madnick is Associate Professor of Management Science at the Sloan School of Management, M.I.T., and the principal investigator of a major research effort, funded by DOD and Citibank, to identify the key strategic, organizational, and technology issues in large-scale information systems.
"About this title" may belong to another edition of this title.
