| Publisher | Univa UD | ||
|---|---|---|---|
| Format | 1.2MB PDF | Date added | 01 Jun 2007 |
| Topics | Knowledge and Data Management, Data Acquisition - ETL, High Performance Computing | ||
| Downloads | 3 | ||
This paper describes the Univa UD solution for enhancing Extract, Transform and Load (ETL) performance by combining parallel processing with an appropriate process architecture to reduce processing timeframes and increase responsiveness and productivity. With the recent explosion in produced, processed, and stored information, companies now have at their fingertips vast amounts of business data which, if well understood, can be used strategically to guide decision-makers to growth and success. Converting raw data from various sources and creating business-critical reports quickly and cost-effectively is key to staying competitive in today's economy.
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