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| Content Provider | ACM Digital Library |
|---|---|
| Author | Datta, Anindya Viguier, Igor |
| Abstract | In this paper we present DataIndexes, a family of design strategies for data warehouses to support OnLine Analytical Processing (OLAP). As the name implies, DataIndexes are both a storage structure for the warehoused relational data and an indexing scheme to provide fast access to that data. We present two simple DataIndexes: the Basic DataIndex (BDI), which can be used for any attribute and the Join DataIndex (JDI), which is used for foreign-key attributes. Either structure can be shown to significantly improve query response times in most cases. And, since they serve as indexes as well as the store of base data, DataIndexes actually define a physical design strategy for a data warehouse where the indexing, for all intents and purposes, comes for "free." |
| Starting Page | 33 |
| Ending Page | 44 |
| Page Count | 12 |
| File Format | |
| ISSN | 00950033 15320936 |
| DOI | 10.1145/335505.335510 |
| Journal | ACM SIGMIS Database: the DATABASE for Advances in Information Systems (DATB) |
| Volume Number | 29 |
| Issue Number | 4 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2007-02-28 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Management Information Systems Computer Networks and Communications |
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