Fundamentals of Data Warehouses

Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis

236 pages, parution le 06/12/2002 (2^eme édition)

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Résumé

Data warehouses have captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains an art rather than a science.

This book presents the first comparative review of the state of the art and best current practice of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European Data Warehouse Quality project, it offers a conceptual framework by which the architecture and quality of data warehouse efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence.

For researchers and database professionals in academia and industry, the book offers an excellent introduction to the issues of quality and metadata usage in the context of data warehouses.

Contents

Data Warehouse Practice : An Overview
Data Warehouse Research :Issues and Projects
Source Integration
Data Warehouse Refreshment
Multidimensional Data Models and Aggregation
Query Processing and Optimization
Metadata and Data Warehouse Quality
Quality-Driven Data Warehouse Design

L'auteur - Matthias Jarke

RWTH, Aachen, Germany

L'auteur - Maurizio Lenzerini

University of Rome, "La Sapienza", Rome, Italy

L'auteur - Yannis Vassiliou

National Technical University of Athens, Greece

L'auteur - Panos Vassiliadis

National Technical University of Athens, Greece

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
Parution	06/12/2002
Édition	2^eme édition
Nb. de pages	236
Format	16 x 24
Couverture	Relié
Poids	476g
Intérieur	Noir et Blanc
EAN13	9783540420897