SAS named as a leader in enterprise ETL by independent research firm
SAS extract, transform and load capabilities within broad information management/data integration strategy
SYDNEY, Australia (12 Mar 2012) – SAS was recently named as a leader for its data extraction, transformation and loading (ETL) technology in "The Forrester Wave™: Enterprise ETL, Q1 20121" by Forrester Research Inc. The report underscores SAS software's value to customers for its "strong capabilities in scalability, performance, connectivity and … a variety of integration options."
"SAS Institute has significantly improved its product and strategy and thus raised its position in the Leader category," stated the Forrester report.
"[SAS] support for Hadoop, ELT and various deployment options, databases and applications; improvements in transformation and integration techniques; and overall monitoring and administration have made a dramatic difference: It's a stronger high-end solution," according to the report.
Within the ETL market, Forrester noted that SAS is a vendor that provides ETL functions as part of a "a bigger data management offering that includes database management, application development, data virtualization, data integration, enterprise information management (EIM), or BI."
"SAS support for ELT (extract, load, transform) scenarios – including unique support for a 'stream it, score it and store it' integration pattern – is particularly important now that enterprises are rapidly accumulating huge amounts of data in a trend known as 'big data.' These organizations are driven to analyze and find insights in the data, but managing such growing volume is a challenge that SAS has answered," said Jim Davis, SAS Senior Vice President and Chief Marketing Officer.
ETL capabilities are included in SAS Enterprise Data Integration Server, a foundation for information management from SAS. ETL operations include extracting data from outside sources, transforming it to fit organizational needs, and loading it into a database or data warehouse for analytical or operational uses.
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