If all you have is a hammer, everything looks like a nail. Barnard Baruchs quote resonates in IT organizations that often find themselves solving new problems with their old reliable tools even when more appropriate new tools may exist.
Todays enterprises rely on the information in their data warehouses more than ever for making informed, business-critical decisions and complying with a myriad of ever-increasing regulations and compliance mandates. Data warehouses integrate and transform the complex, disparate and globally distributed data from back-office transaction systems and other sources into the rock-solid information stores that support a range of financial, customer and supply chain performance management analytics - reporting that is critical to helping enterprises increase revenues, decrease costs and reduce risk.
The virtualization revolution is upon us: first storage, then servers and applications, now data itself. Data virtualization, also referred to as a virtualized data layer, an information grid or information fabric, brings together data from multiple, disparate sources - anywhere across the extended enterprise - into a unified, logical virtualized data layer for consumption by nearly any front-end business solution, including portals, reports, applications and more.