Book description
Principles of Data Integration is the first comprehensive textbook of data integration, covering theoretical principles and implementation issues as well as current challenges raised by the semantic web and cloud computing. The book offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand. Readers will also learn how to build their own algorithms and implement their own data integration application.
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.
This text is an ideal resource for database practitioners in industry, including data warehouse engineers, database system designers, data architects/enterprise architects, database researchers, statisticians, and data analysts; students in data analytics and knowledge discovery; and other data professionals working at the R&D and implementation levels.
- 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
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Preface
- 1. Introduction
-
Part I: Foundational Data Integration Techniques
- 2. Manipulating Query Expressions
- 3. Describing Data Sources
- 4. String Matching
-
5. Schema Matching and Mapping
- 5.1 Problem Definition
- 5.2 Challenges of Schema Matching and Mapping
- 5.3 Overview of Matching and Mapping Systems
- 5.4 Matchers
- 5.5 Combining Match Predictions
- 5.6 Enforcing Domain Integrity Constraints
- 5.7 Match Selector
- 5.8 Reusing Previous Matches
- 5.9 Many-to-Many Matches
- 5.10 From Matches to Mappings
- Bibliographic Notes
- 6. General Schema Manipulation Operators
- 7. Data Matching
-
8. Query Processing
- 8.1 Background: DBMS Query Processing
- 8.2 Background: Distributed Query Processing
- 8.3 Query Processing for Data Integration
- 8.4 Generating Initial Query Plans
- 8.5 Query Execution for Internet Data
- 8.6 Overview of Adaptive Query Processing
- 8.7 Event-Driven Adaptivity
- 8.8 Performance-Driven Adaptivity
- Bibliographic Notes
- 9. Wrappers
- 10. Data Warehousing and Caching
- Part II: Integration with Extended Data Representations
- Part III: Novel Integration Architectures
- Bibliography
- Index
Product information
- Title: Principles of Data Integration
- Author(s):
- Release date: June 2012
- Publisher(s): Morgan Kaufmann
- ISBN: 9780123914798
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