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The efficacy of multidimensional con...
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Cardwell, Leslie K.
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The efficacy of multidimensional constraint keys in database query performance.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
The efficacy of multidimensional constraint keys in database query performance./
作者:
Cardwell, Leslie K.
面頁冊數:
84 p.
附註:
Source: Dissertation Abstracts International, Volume: 74-01(E), Section: A.
Contained By:
Dissertation Abstracts International74-01A(E).
標題:
Information Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3525515
ISBN:
9781267577146
The efficacy of multidimensional constraint keys in database query performance.
Cardwell, Leslie K.
The efficacy of multidimensional constraint keys in database query performance.
- 84 p.
Source: Dissertation Abstracts International, Volume: 74-01(E), Section: A.
Thesis (D.C.S.)--Colorado Technical University, 2012.
This work is intended to introduce a database design method to resolve the two-dimensional complexities inherent in the relational data model and its resulting performance challenges through abstract multidimensional constructs. A multidimensional constraint is derived and utilized to implement an indexed Multidimensional Key (MK) to abstract a logically partitioned subset by reading a single overriding index on a relation (table), without the need to traverse the domain (path) hierarchy. The Multidimensional Key can then be utilized for the purposes of improving the efficiencies and performance in both production and data warehouse environments, often mitigating the need for commonly used denormalization techniques. The results of this research demonstrate a performance increase that outweighs the cost of the MK index can be obtained in circumstances where the query execution is frequent.
ISBN: 9781267577146Subjects--Topical Terms:
1017528
Information Science.
The efficacy of multidimensional constraint keys in database query performance.
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This work is intended to introduce a database design method to resolve the two-dimensional complexities inherent in the relational data model and its resulting performance challenges through abstract multidimensional constructs. A multidimensional constraint is derived and utilized to implement an indexed Multidimensional Key (MK) to abstract a logically partitioned subset by reading a single overriding index on a relation (table), without the need to traverse the domain (path) hierarchy. The Multidimensional Key can then be utilized for the purposes of improving the efficiencies and performance in both production and data warehouse environments, often mitigating the need for commonly used denormalization techniques. The results of this research demonstrate a performance increase that outweighs the cost of the MK index can be obtained in circumstances where the query execution is frequent.
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