Framework for designing materialized views in data warehousing environment

Jian Yang, Kamalakar Karlapalem, Qing Li

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

32 Citations (Scopus)

Abstract

Data warehouses are accessed by different queries with different frequencies. The portions of data accessed by a query can be treated as a view. When these views are related to each other and defined over overlapping portions of the base data, then it may be more efficient not to materialize all the views, but rather to materialize certain `shared views' from which the query results can be generated. In this paper, we address some issues related to determining this set of shared views to be materialized in order to achieve the best combination of good performance and low maintenance, and provide an algorithm for achieving this goal.

Original languageEnglish
Pages458-465
Number of pages8
Publication statusPublished - 1 Jan 1997
Externally publishedYes
EventProceedings of the 1997 17th International Conference on Distributed Computing Systems - Baltimore, MD, USA
Duration: 27 May 199730 May 1997

Conference

ConferenceProceedings of the 1997 17th International Conference on Distributed Computing Systems
CityBaltimore, MD, USA
Period27/05/9730/05/97

ASJC Scopus subject areas

  • Hardware and Architecture

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