Principles of Data Integration

By AnHai Doan, Alon Halevy, and Zachary Ives

Morgan Kaufmann, 1st edition (2012), 520 pages
Available from Amazon in hardcopy or Kindle form, from Google Play store in e-book form, and from Barnes & Noble in hardcopy or Nook form.


Cover Image This textbook gives a comprehensive academic treatment of the wide range of topics related to research in data integration: mappings and data transformations, query rewriting, schema and data matching, adaptive query processing, XML and streaming data, integration with uncertainty, integration on the Web, keyword search, data provenance, and much more. We also describe research challenges, real systems, and implementation techniques.

The book is ideally suited for graduate courses on data integration, and should also be a great resource for any data integration practitioner in the field.


Contents and Slides
   PART I: FOUNDATIONAL DATA INTEGRATION TECHNIQUES    PART II: INTEGRATION WITH EXTENDED DATA REPRESENTATIONS    PART III: NOVEL INTEGRATION ARCHITECTURES
Errata