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Introduction
DATA INTEGRATION SERVICES
Christian Convey, Olga Karpenko, Nesime Tatbul and Jue Yan
Introduction
Definition of Data Integration
Motivation for Data Integration Systems
Major Issues
Summary of State of the Art
Data Integration Architectures
Dimensions to categorize architectural models for integrating data sources
Major Approaches to Data Integration
Virtual View Approach
Federated Database Systems
Mediated Systems
Materialized View Approach (Data Warehousing)
Hybrid approach
Comparative strengths and weaknesses of each approach/architecture
Data Models and Schema Integration
Data Models
Schemas
Data Model Semantics
Mapping Between Schemas
Hard Problems in Schema Mapping
A Survey of Automatible Schema Mapping
Querying the Integrated Data
Data Modeling
Languages
Modeling the Mediated Schema
Modeling the Data Sources
Query Reformulation/Rewriting
Global As View (GAV) Approach
Local As View (LAV) Approach
Completeness and Complexity of Finding Query Rewritings
Using Probabilistic Information
Alternative Query Reformulation for Dynamic Information Integration
Query Optimization and Execution
Query Plan Generation
Query Execution
Adaptive Query Execution
Query Translation
Data Extraction
Techniques for Extracting Data (Wrappers)
Wrapper generation
Filters
Interfaces of Sources to the World
General issues with interfaces
Survey of Common Interfaces
Materialized View Management
Design and Selection of Views to Materialize
The Problem of View Maintenance
Definition
Dimensions
View Maintenance Policies
Incremental View Maintenance
View Maintenance Anomalies(Consistency Issues)
Update Filtering
View Self-Maintenance
Dynamic View Management
Systems
Open Questions and Research Issues
Concluding Remarks
About this document ...
Emine N. Tatbul
2001-03-19
