The DataIndex: A Structure for Smaller, Faster Data Warehouses.
Anindya Datta, Igor R. Viguier:
The DataIndex: A Structure for Smaller, Faster Data Warehouses.
DATA BASE 29(4): 33-44(1998)@article{DBLP:journals/db/DattaV98,
author = {Anindya Datta and
Igor R. Viguier},
title = {The DataIndex: A Structure for Smaller, Faster Data Warehouses},
journal = {DATA BASE},
volume = {29},
number = {4},
year = {1998},
pages = {33-44},
ee = {db/journals/db/DattaV98.html},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
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 warehouseed 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".
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