Organizations are challenged by ever-growing data volumes, as well as data types that are increasingly diverse. With the advent of big data and the proliferation of multiple information channels, organizations must store, discover, access, and share massive volumes of traditional and new data sources.

This guide looks at data virtualization and explains how this modern approach to data integration transcends the limitations of traditional techniques. It explains how data virtualization delivers a simplified, unified, and integrated view of trusted business data in real time or near-real time, as needed by consuming applications, processes, analytics, or business users.