Principles of Data Integration

ISBN-10: 0124160441
ISBN-13: 9780124160446
Edition: 2012
List price: $79.95 Buy it from $21.64
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Description: 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  More...

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Book details

List price: $79.95
Copyright year: 2012
Publisher: Elsevier Science & Technology Books
Publication date: 6/25/2012
Binding: Hardcover
Pages: 520
Size: 7.75" wide x 9.50" long x 1.50" tall
Weight: 2.750
Language: English

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. Video interview(s) and video lectures from authors. 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.

Head of the Structured Data Group, Google Research, Mountain View, California. He joined Google in 2005 with the acquisition of his company, Transformic.

AnHai Doan, Associate Professor in Computer Science at the University of Wisconsin-Madison. Consulting work with Microsoft AdCenter Lab and Yahoo Research Lab.

Associate Professor at the University of Pennsylvania and a Faculty Member of the Penn Center for Bioinformatics. He received his PhD from the University of Washington. His research interests include data integration, data sharing among autonomous and heterogeneous systems, heterogeneous sensor networks, and information provenance and authoritativeness.

Introduction
Foundational Data Integration Techniques
Manipulating Query Expressions
Describing Data Sources
String Matching
Schema Matching and Mapping
General Schema Manipulation Operators
Data Matching
Query Processing
Wrappers
Data Warehousing and Caching
Integration with Extended Data Representations
XML
Ontologies and Knowledge Representation
Incorporating Uncertainty into Data Integration
Data Provenance
Novel Integration Architectures
Data Integration on the Web
Keyword Search: Integration on Demand
Peer-to-Peer Integration
Integration in Support of Collaboration
The Future of Data Integration

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