Federated Data Warehouses

Stefan Berger, Michael Schrefl

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Federated Data Warehouses are a collection of autonomous and often heterogeneous Data Marts (DM). When attemping to integrate autonomous DMs, data designers commonly face numerous conflicts that must be repaired. This book chapter analyzes and classifies the conflicts at the schema and instance level among dimensions and cubes in a systematic way, based on a formal data model. It shows the dependencies between dimension and cube integration and presents a methodological DM integration approach. A running example demonstrates how to repair the various heterogeneities. Moreover, the chapter introduces a Federated DW reference architecture enabling tightly coupled integration of autonomous DMs.
Original languageEnglish
Title of host publicationComplex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development
Subtitle of host publicationInnovative Methods and Applications
Editors Nguyen Manh Tho
Place of PublicationHershey, PA
PublisherIGI Publishing
Pages82-107
Number of pages26
ISBN (Print)9781605667485
DOIs
Publication statusPublished - 2009

Fields of science

  • 102 Computer Sciences
  • 102015 Information systems

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