Article Fingerprint
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M626B
An evaluation of aggregate functions in relational database system considerable impact on performance in many application areas like geographic information systems and statistical and scientific databases. The problem with existing systems is inefficient execution of aggregate functions with large data volumes and lack of flexibility. It is not possible to extend the systems with new aggregate (average) functions. We show how this could be implemented into a database. We also describe how support for special kinds of aggregate queries and data structures can help in designing future high performance systems.
Mridul Kanti Das. 2011. \u201cA New Approach For Calculating Average Value (including null) Without Aggregate Function\u201d. Global Journal of Research in Engineering - I: Numerical Methods GJRE-I Volume 11 (GJRE Volume 11 Issue I7): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Total Score: 109
Country: Bangladesh
Subject: Global Journal of Research in Engineering - I: Numerical Methods
Authors: Mridul Kanti Das, Goutam Biswas, Md. Masudur Rahman, Dr. Md. Nasim Akhtar (PhD/Dr. count: 1)
View Count (all-time): 209
Total Views (Real + Logic): 5609
Total Downloads (simulated): 2824
Publish Date: 2011 12, Wed
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An evaluation of aggregate functions in relational database system considerable impact on performance in many application areas like geographic information systems and statistical and scientific databases. The problem with existing systems is inefficient execution of aggregate functions with large data volumes and lack of flexibility. It is not possible to extend the systems with new aggregate (average) functions. We show how this could be implemented into a database. We also describe how support for special kinds of aggregate queries and data structures can help in designing future high performance systems.
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