Real-world big data use cases have moved beyond “possibilities” to multiple use patterns including analytics and low-cost archival storage of large datasets. In all cases, big data is thought of in an ENTERPRISE sense, even if big data analytics that is performed by data scientists is highly focused on a particular entity or problem such as customer behavior, sensor data or trade patterns. Today, data virtualization is playing a key role in exposing big data as abstracted data services using RESTful interfaces and real-time query capabilities to democratize access to this intelligence, and as such has enabled faster enterprise adoption of big data alongside traditional databases, operational systems and BI systems.
