Modeling and design techniques for the central data warehouse

Type :

Term papers

Pages :

5 pages

Format :

.pdf

Published date :

10/08/2009

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Summary :

 
 

Table of Contents Modeling and design techniques for the central data warehouse Table of Contents

 
  1. Abstract
  2. Introduction
  3. Basic principles of data warehousing modeling
  4. User requirements capturing
  5. Data analysis processing scenarios
  6. Requirements modeling
    1. Objectives
    2. Base techniques
    3. Adding dimensions to a base entity relationship model
  7. Iternative approach
  8. Temporal data modeling
  9. Conceptual modeling
  10. Continuous temporal model
  11. Time domains
  12. Conclusion
  13. References

Abstract

This paper presents the techniques required for modeling the central data warehouse (CDW). It promotes end-user requirements driven data warehouse development process, consisting of sub-projects which develop departmental warehouses (data marts) that can be made to fit within a corporate data warehousing environment. This is the essence of the evolutionary development approach. It describes how the modeling of a data warehouse database can be done. It deals with temporal modeling and how an existing source data model can be transformed into a continuous history data model. Temporal modeling and design, is not exclusive to CDW modeling. If you would like to make a (complex) data mart which requires a continuous history data model, you will use the temporal modeling techniques presented here, during the data mart data modeling phase.

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About the author :

pencil image Vijay P. Director of Shri HDG MBA College
Level :General public Study : Management School/University : Saurashtra University

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