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Fundamentals of Data Warehouses

  • Book
  • © 2003

Overview

Authors:
  1. Matthias Jarke

    1. Dept. of Computer Science V, RWTH Aachen, Aachen, Germany

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  2. Maurizio Lenzerini

    1. Dipartimento di Informatica e Sistemistica, Università di Roma “La Sapienza”, Rome, Italy

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  3. Yannis Vassiliou

    1. Dept. of Electrical and Computer Engineering, Computer Science Division, National Technical University of Athens, Zographou, Athens, Greece

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  4. Panos Vassiliadis

    1. Dept. of Electrical and Computer Engineering, Computer Science Division, National Technical University of Athens, Zographou, Athens, Greece

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  • In-depth review of data warehousing state of the art and practice

  • Includes challenging list of research topics for researchers Excellent introduction to the issues of quality and metadata usage in data warehousing

  • In this 2nd edition the state of the practice is brought up-to-date and a new chapter on the development method of DWQ included

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Table of contents (8 chapters)

  1. Front Matter

    Pages I-XV
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  2. Data Warehouse Practice: An Overview

    • Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
    Pages 1-14

  3. Data Warehouse Research: Issues and Projects

    • Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
    Pages 15-25

  4. Source Integration

    • Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
    Pages 27-45

  5. Data Warehouse Refreshment

    • Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
    Pages 47-85

  6. Multidimensional Data Models and Aggregation

    • Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
    Pages 87-105

  7. Query Processing and Optimization

    • Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
    Pages 107-122

  8. Metadata and Data Warehouse Quality

    • Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
    Pages 123-164

  9. Quality-Driven Data Warehouse Design

    • Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
    Pages 165-179

  10. Back Matter

    Pages 181-219
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Keywords

About this book

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.

Authors and Affiliations

  • Dept. of Computer Science V, RWTH Aachen, Aachen, Germany

    Matthias Jarke

  • Dipartimento di Informatica e Sistemistica, Università di Roma “La Sapienza”, Rome, Italy

    Maurizio Lenzerini

  • Dept. of Electrical and Computer Engineering, Computer Science Division, National Technical University of Athens, Zographou, Athens, Greece

    Yannis Vassiliou, Panos Vassiliadis

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