Efficient Refreshment of Data Warehouse Views

dc.contributor.authorBaekgaard, Larsen_US
dc.contributor.authorRoussopoulos, Nicken_US
dc.date.accessioned2004-05-31T22:39:09Z
dc.date.available2004-05-31T22:39:09Z
dc.date.created1996-05en_US
dc.date.issued1998-10-15en_US
dc.description.abstractA data warehouse is a view on a set of distributed and possible loosely coupled source databases. For efficiency reasons a warehouse should be maintained as a materialized view. Therefore, efficient incremental algorithms must be used to periodically refresh the data warehouse. It is possible and desirable to separate the process of warehouse refreshment from the process of warehouse use. In this paper we describe and compare view refreshment algorithms that are based on different combinations of materialized views, partially materialized views, and pointers. Our contribution is twofold. First, our algorithms and data structures are designed to minimize network communication and interactions between the warehouse and the source databases. The minimal set of data that is necessary for both warehouse refreshment and warehouse use is stored on the warehouse. Second, we describe the results of an experiment comparing these methods with respect to storage overhead and I/O. Briefly, the experiment show that algorithms based on a combination of partially materialized views and pointers outperforms algorithms based on materialized views. (Also cross-referenced as UMIACS-TR-96-33)en_US
dc.format.extent199194 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/817
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3642en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-96-33en_US
dc.titleEfficient Refreshment of Data Warehouse Viewsen_US
dc.typeTechnical Reporten_US

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