Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorReddy, V M-
dc.contributor.authorJena, S K-
dc.contributor.authorRao, M N-
dc.identifier.citationProceedings of the International Conference on Computational Intelligence Applications, ICCIA2010, 03-05 March 2010, Nashik, India, P 27-32en
dc.descriptionCopyright belongs to Proceedings Publisheren
dc.description.abstractOver the years, DataWarehousing has gone through a number of evolutions from a relatively simple reporting database to sophisticated analytical applications such as analyzing customer lifetime values, market basket analyses, potentially defecting customers, fraud patterns, inventory churns, and so on. In all, though, these static sets of data could not give us the most current and recent changes necessary to act upon the results of Business Intelligence analyses. In this paper we present a methodology on how to adapt data warehouse schemas and loading the fresh data with the help of the GUI based ETL [12][13] (Extraction, Transformation and Loading) procedure for Active Data Warehouse. To accomplish this, we use techniques such as table structure replication and query predicate restrictions for selecting data, to enable continuously loading data in the data warehouse with minimum impact in query execution time.en
dc.format.extent227596 bytes-
dc.subjectReal-time and active data warehousingen
dc.subjectcontinuous data integration for data warehousingen
dc.subjectdata warehouse refreshment loading processen
dc.subjectGUI based ETLen
dc.titleActive Datawarehouse Loading by GUI Based ETL Procedureen
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
ICCIA10-Reddy.pdf222.26 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.