Name
Abstract | ||
|---|---|---|
Performance is a critical issue in Data Warehouse systems (DWs), due to the large amounts of data manipulated, and the type of analysis performed. A common technique used to improve performance is the use of pre-computed aggregate data, but the use of aggregates must be transparent for DW users. In this work, we present MF-Retarget, a query retargeting mechanism that deals with both conventional star schemas and multiple fact table (MFT) schemas. This type of multidimensional schema is often used to implement a DW using distinct, but interrelated Data Marts. The paper presents the retargeting algorithm and initial performance tests. |
Year | Venue | Keywords |
|---|---|---|
2002 | ADBIS Research Communications | data warehouse |
Field | DocType | Citations |
SQL,Data warehouse,Data structure,Data mining,Fact table,Star schema,Computer science,Data mart,Drill down,Online analytical processing | Conference | 0 |
PageRank | References | Authors |
0.34 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karin Becker | 1 | 88 | 17.22 |
| Duncan Dubugras A. Ruiz | 2 | 47 | 5.82 |
| Kellyne Santos | 3 | 0 | 0.34 |