| Publisher | Syntel | ||
|---|---|---|---|
| Format | 596.6KB PDF | Date added | 04 Sep 2007 |
| Topics | Voice - Data Integration, Data Acquisition - ETL, Business Intelligence - Data Warehousing | ||
| Downloads | 55 | ||
Business enterprises invest millions of dollars to implement and deliver Data Warehousing and Business Intelligence (BI) initiatives that rely on consistent, accurate and reliable data. IT organizations in these enterprises must ensure that proper integration techniques are selected to address the data needs of the organization. Positioning a common enterprise-wide integration strategy with EAI is essential to establish a clear-cut partnership between business needs and IT solutions. Data integration, a function of ETL, is a prominent need as mediocre data at the foundation of any BI initiative fails to provide an accurate picture of the business. Thus the vital question: EAI or ETL? This paper, explores this question, comparing ETL against the data integration element of EAI.
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