The New Data Integration Landscape: Moving Beyond Ad-Hoc ETL to an Enterprise Data Integration Strategy

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Date:

01-04-2007
Vendor:

SAS Institute
Registration:

Required
Type:

Whitepapers
File size:

720.0 KB
Format:

PDF, Acrobat Reader
Pages:

16

Publisher’s description

For years, the key to success for any business intelligence solution has been the process known as Extract, Transform and Load (ETL). Selecting the right tool to bring data from disparate sources and transform it before loading into a target destination was the critical factor in building a data warehouse or data mart to support an organization's business intelligence projects. In fact, it was so important that the process became synonymous with the tool, and the technology became known as ETL technology, which spawned many ETL tools. Numerous organizations have struggled through the process of selecting tool after tool to gain access to new data sources as limitations in the previously chosen tools became apparent.

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The New Data Integration Landscape: Moving Beyond Ad-Hoc ETL to an Enterprise Data Integration Strategy