NDLI: Improving query response time in scientific databases using data aggregation -a case study

Content Provider	IEEE Xplore Digital Library
Author	Lehner, W. Ruf, T. Teschke, M.
Copyright Year	1996
Description	Author affiliation: Erlangen-Nurnberg Univ., Germany (Lehner, W.)
Abstract	Although most state-of-the-art database systems have no inherent limitations w.r.t. the amount of data they can handle, the huge data quantities typically found in scientific database applications often exceed the feasibility level from a practical point of view when query performance is the issue. One theoretically well-known concept of improving query response time in scientific database applications is using the categorization and classification facilities often found in scientific computing domains for storing data aggregations that allow to substitute expensive access to raw data by the use of stored aggregated values. The results of an empirical performance study carried out in the application domain of market research are presented which substantiate the practical importance of such work. Using real market research data, it is shown that query response time can be shortened in an order of magnitude if a proper data aggregation concept is used. If the data aggregates are designed properly, the overhead of generating and managing materializations of data aggregates is by far outweighed by the improved query performance in realistic scenarios.
Starting Page	201
Ending Page	206
File Size	687833
Page Count	6
File Format	PDF
ISBN	0818676620
DOI	10.1109/DEXA.1996.558295
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-09-09
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Delay Computer aided software engineering Testing Market research Relational databases Scientific computing Aggregates Data models Database systems Paper technology
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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