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SAS takes data integration to new heights with improved ETL cycle
SAS, the leader in business and analytical intelligence, has announced new features of SAS Enterprise ETL Server that increase the productivity and add flexibility to the extraction, transformation and load (ETL) cycle. As the first vendor to offer advanced change analysis capabilities, SAS has significantly improved an ETL designer's ability to quickly identify and act on changes within existing data models, saving hours of manpower and frustration. In addition, automatic support for grid computing makes it even easier for businesses to take advantage of the massive speed and productivity gains offered by grid and distributed computing. "With ETL design and development consuming an increasing number of internal resources, there is a growing need to optimise this cycle for greater efficiency and effectiveness," said Joe Augustine, product marketing manager for data integration at SAS. "The enhancements to SAS Enterprise ETL Server show SAS's commitment to providing our customers with the most innovative technology available to help companies achieve data integration and business intelligence success, starting at the initial phase of the process. "By further optimising the ETL cycle within the data integration process, our customers no longer need to worry about the accuracy, availability and reliability of their data, and can instead turn their attention toward using that data to create cohesive enterprise intelligence." The newest features of SAS Enterprise ETL Server include:
"SAS Enterprise ETL Server is capable of reducing the time and frustration typically involved in handling complex data transformations. From metadata management to data migration, synchronisation and profiling, SAS handles it all with one product that can help companies achieve true data integration and BI success," concludes Augustine.
More information about the SAS Enterprise Intelligence Platform is available here: http://www.sas.com/technologies/architecture/. |
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