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- W2952761350 abstract "Business Intelligence is an essential tool used byenterprises for strategic, tactical and operational decisionmaking. Business Intelligence most often needs to correlate datafrom disparate data sources to derive insights. Unifying data fromdisparate data sources and providing a unifying view of data isgenerally known as data integration. Traditionally enterprisesemployed ETL and data warehouses for data integration. However inlast few years a technology known as Virtualization hasfound some acceptance as an alternative data integration solution.Data Virtualization is a federated database termed as compositedatabase by McLeod/Heimbigner's in 1985. Till few years back DataVirtualization weren't considered as an alternative for ETL but wasrather thought of as a technology for niche integration challenges.In this paper we hypothesize that for many BI applications datavirtualization is a better cost effective data integrationstrategy. We analyze the system architecture of warehouseand Virtualization solutions. We further employ SystemDynamics Model to compare few key metrics like Time to Market andCost of warehouse and Virtualization solutions. Wealso look at the impact of Enterprise Data Standardization ondata integration." @default.
- W2952761350 created "2019-06-27" @default.
- W2952761350 creator A5067757279 @default.
- W2952761350 date "2013-01-01" @default.
- W2952761350 modified "2023-09-27" @default.
- W2952761350 title "Analysis of data virtualization & enterprise datastandardization in business intelligence; Analysis of data virtualization and enterprise datastandardization in business intelligence" @default.
- W2952761350 hasPublicationYear "2013" @default.
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