Principles of Data Integration
by AnHai Doan, Zachary Ives
How do you approach answering queries when your data is stored in multiple databases that were designed independently by different people? This is first comprehensive book on data integration and is written by three of the most respected experts in the field.
This book provides an extensive introduction to the theory and concepts underlying today's data
… See more details belowOverview
How do you approach answering queries when your data is stored in multiple databases that were designed independently by different people? This is first comprehensive book on data integration and is written by three of the most respected experts in the field.
This book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using concrete examples throughout to explain the concepts. Data integration is the problem of answering queries that span multiple data sources (e.g., databases, web pages). Data integration problems surface in multiple contexts, including enterprise information integration, query processing on the Web, coordination between government agencies and collaboration between scientists. In some cases, data integration is the key bottleneck to making progress in a field.
The authors provide a working knowledge of data integration concepts and techniques, giving you the tools you need to develop a complete and concise package of algorithms and applications.
• Offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand.
• Enables you to build your own algorithms and implement your own data integration applications
• Companion website with numerous project-based exercises and solutions and slides. Links to commercially available software allowing readers to build their own algorithms and implement their own data integration applications. Facebook page for reader input during and after publication.
Product Details
- ISBN-13:
- 9780124160446
- Publisher:
- Elsevier Science
- Publication date:
- 07/09/2012
- Edition description:
- New Edition
- Pages:
- 520
- Sales rank:
- 922,793
- Product dimensions:
- 7.70(w) x 9.30(h) x 1.50(d)
Table of Contents
CH 1: Introduction
Part I: Foundational Data Integration Techniques
CH 2: Manipulating Query Expressions
CH 3: Describing Data Sources
CH 4: String Matching CH 5: Schema Matching and Mapping
CH 6: General Schema Manipulation Operators
CH 7: Data Matching
CH 8: Query Processing
CH 9: Wrappers
CH 10: Data Warehousing and Caching
Part II: Integration with Extended Data Representations
CH 11: XML
CH 12: Ontologies and Knowledge Representation
CH 13: Incorporating Uncertainty into Data Integration
CH 14: Data Provenance
Part III: Novel Integration Architectures
CH 15: Data Integration on the Web
CH 16: Keyword Search: Integration on Demand
CH 17: Peer-to-Peer Integration
CH 18: Integration in Support of Collaboration
CH 19: The Future of Data Integration
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