Ebook: Principles of Data Integration

Front cover ; Principles of Data Integration; Copyright; Dedication ; Table of Contents; Preface; 1 Introduction; 1.1 What Is Data Integration?; 1.2 Why Is It Hard?; 1.2.1 Systems Reasons; 1.2.2 Logical Reasons; 1.2.3 Social and Administrative Reasons; 1.2.4 Setting Expectations; 1.3 Data Integration Architectures; 1.3.1 Components of the Data Integration System; 1.3.2 Example Data Integration Scenario; Data Sources and Mediated Schema; Query Processing; 1.4 Outline of the Book; Bibliographic Notes; I Foundational Data Integration Techniques ; 2 Manipulating Query Expressions.;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.