Data Virtualization Meets ETL (websphere.sys-con.com) February 28, 2011 at 2:00 AM

Queplix Wednesday put a couple of tools on the market that are supposed to
make it easier, quicker and cheaper to move data to the cloud. Its new
VirtualETL and CloudETL lines bring data virtualization to usually thorny
extract, transform and load (ETL) tasks and are supposed to cut the time
required to connect applications a good 75% compared to traditional ETL
methodologies. Queplix CEO Mark Cashman says using data virtualization for ETL
“changes everything; ETL teams can mix any combination of relational, object,
cloud or XML-based applications. And they don’t need to use SQL to set up
connectivity, define the transforms, tune data quality or get the integration
into production. We’ve essentially turned the cost model upside down, lowering
product costs and dramatically reducing set-up costs.”

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