Doug Laney

Selecting an extract-transform-load (ETL) tool remains one of the most critical decisions for a data warehouse project team. As organizations attempt to rein in rogue DW efforts into a more enterprise-oriented analytic solution, the ETL tool is expected to deliver greater functionality and performance, according to META Group.

Building scalability and flexibility into information architectures to handle emerging analytic requirements requires piecing together an expanding assortment of analytic architecture concepts and components, according to META Group.