Skip to main content

Accommodating Dimension Hierarchies in a Data Warehouse View/Index Selection Scheme

  • Chapter
Book cover Systems Development Methods for the Next Century

Abstract

A data warehouse is a large database integrating data from a number of enterprise independent source application databases over a long period of time [8]. A data warehouse is organized around major subjects (entities) of an enterprise and not around its functions. For example, in a banking environment which has two independent source databases, one for savings account functions and the other for chequing account functions, a data warehouse that integrates these two databases has the following basic structure: bt (customised (C), accounttype (A), time (T), balance).

This research was supported by the Natural Science and Engineering Research Council (NSERC) of Canada under an operating grant (OGP-0194134) and a University of Windsor startup grant.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ramon Barquin and Herb Edelstein. Planning and Designing the Data Warehouse. Prentice Hall, 1997.

    Google Scholar 

  2. S. Chakravarthy, J. Muthuraj, R. Varadarajan, and S. B. Navathe. An Objective Function for Vertically Partitioning Relations in Distributed Databases and its Analysis. Distributed and Parallel Databases, 2(1): 183–207, 1993.

    Google Scholar 

  3. C. I. Ezeife and Ken Barker. Distributed Object Based Design: Vertical Fragmentation of Classes. Submitted to Journal of DAPSs, 1996.

    Google Scholar 

  4. C.I. Ezeife. A Uniform Approach For Selecting Views and Indexes in a Data Warehouse. Proceedings of the International Database Engineering and Applications Symposium, Montreal, Canada, IEEE, 1997.

    Google Scholar 

  5. J. Gray, A. Bosworth, A. Layman, and H. Pirahesh. Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals. Proceedings of the 12th International Conference on Data Engineering, pages 152–159, 1996.

    Google Scholar 

  6. Himanshu Gupta, Venky Harinarayan, Anand Rajaraman, and Jeffrey Ullman. Index Selection for OLAP. In International Conference on Data Engineering, Burmingham, U.K, 1997.

    Google Scholar 

  7. Venky Harinarayan, Anand Rajaraman, and Jeffrey Ullman. Implementing Data Cubes Efficiently. In ACM SIGMOD International Conference on Management of Data, June 1996.

    Google Scholar 

  8. W. H. Inmon. Building the Data Warehouse. John Wiley & Sons, Inc., second edition, 1996.

    Google Scholar 

  9. W.T. McCormick, P.J. Schweitzer, and T.W. White. Problem Decomposition and Data Reorganization by a Clustering Technique. Operations Research, 20(5), 1972.

    Google Scholar 

  10. Inderpal S. Mumick, Dalian Quass, and Barinderpal S. Mumick. Maintenance of Data Cubes and Summary Tables in a Warehouse. Working Paper, 1996.

    Google Scholar 

  11. S.B. Navathe, S. Ceri, G. Wiederhold, and J. Dou. Vertical Partitioning Algorithms for Database Design. ACM Transactions on Database Systems, 9(4), 1984.

    Google Scholar 

  12. M.T. Ozsu and P. Valduriez. Principles of Distributed Database Systems. Prentice Hall, 1991.

    Google Scholar 

  13. J. Widom. Research Problems in Data Warehousing. In Proceedings of the 4th International Conference on Information and Knowledge Management (CIKM), November 1995.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer Science+Business Media New York

About this chapter

Cite this chapter

Ezeife, C.I. (1997). Accommodating Dimension Hierarchies in a Data Warehouse View/Index Selection Scheme. In: Wojtkowski, W.G., Wojtkowski, W., Wrycza, S., Zupančič, J. (eds) Systems Development Methods for the Next Century. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5915-3_17

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-5915-3_17

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7712-2

  • Online ISBN: 978-1-4615-5915-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics