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Data warehousing and OLAP
Bernardino, Jorge ;  Madeira, Henrique ;  Hinze, Annika ;  Hommes, Bart-Jan ;  Doctoral Consortium of the Conference on Advanced Information Systems Engineering <7, 2000, Stockholm>

Main titleData warehousing and OLAP
Subtitleimproving query performance using distributed computing
AuthorBernardino, Jorge
AuthorMadeira, Henrique
EditorHinze, Annika
EditorHommes, Bart-Jan
No. of Pages[12] S.
Series [Freie Universität Berlin, Fachbereich Mathematik und Informatik : Ser. B, Informatik ; 2000,23]
Classification (DDC)005 Computer programming, programs, data
AbstractData warehouses are used to store large amounts of data. This data is often used for On-Line Analytical Processing (OLAP) where short response times are essential for on-line decision support. One of the most important requirements of a data warehouse server is the query performance. The principal aspect from the user perspective is how quickly the server processes a given query: “the data warehouse must be fast”. The main focus of our research is finding adequate solutions to improve query response time of typical OLAP queries and improve scalability using a distributed computation environment
that takes advantage of characteristics specific to the OLAP context. Our proposal provides very good performance and scalability even on huge data warehouses.
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FU DepartmentDepartment of Mathematics and Computer Science
Other affiliation(s)Institut für Informatik
Year of publication2000
Type of documentMaps
LanguageEnglish
Terms of use/Rights Nutzungsbedingungen
Created at2009-10-30 : 09:59:55
Last changed2014-01-23 : 04:23:06
 
Static URLhttp://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000004127
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