Advertisement

Fundamentals of Data Warehouses

  • Matthias Jarke
  • Maurizio Lenzerini
  • Yannis Vassiliou
  • Panos Vassiliadis
Book

Table of contents

  1. Front Matter
    Pages I-XV
  2. Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
    Pages 1-14
  3. Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
    Pages 15-25
  4. Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
    Pages 27-45
  5. Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
    Pages 47-85
  6. Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
    Pages 87-105
  7. Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
    Pages 107-122
  8. Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
    Pages 123-164
  9. Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
    Pages 165-179
  10. Back Matter
    Pages 181-219

About this book

Introduction

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. Furthermore, it presents 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.
In the second edition, the significant advances of the state of the practice in the last three years are discussed and the conceptual framework is extended to a full methodology for data warehouse design, illustrated by several industrial case studies.

Keywords

Data Warehouse Data integration Data quality Metadata Online analytic processing artificial intelligence database intelligence modeling optimization query processing

Authors and affiliations

  • Matthias Jarke
    • 1
  • Maurizio Lenzerini
    • 2
  • Yannis Vassiliou
    • 3
  • Panos Vassiliadis
    • 3
  1. 1.Dept. of Computer Science VRWTH AachenAachenGermany
  2. 2.Dipartimento di Informatica e SistemisticaUniversità di Roma “La Sapienza”RomeItaly
  3. 3.Dept. of Electrical and Computer Engineering, Computer Science DivisionNational Technical University of AthensZographou, AthensGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-05153-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-07564-3
  • Online ISBN 978-3-662-05153-5
  • Buy this book on publisher's site