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.
If your browser can't open the file, please download the file first and then open it
FU DepartmentDepartment of Mathematics and Computer Science
Other affiliation(s)Institut für Informatik
Year of publication2000
Type of documentConferencepresentation
Terms of use/Rights Nutzungsbedingungen
Created at2009-10-30 : 09:59:55
Last changed2015-01-22 : 04:45:08
Static URLhttp://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000004127