Data engineers and analytics development teams already use data virtualization tools to create reusable data services or data APIs that access, transform, and deliver analytic data.
They use the services often to do heavy-lifting reads quickly, securely, and with high performance. The data services can then be coalesced into a common data layer that can support a wide range of analytic and applications use cases.
Therefore, data virtualization-enabled data engineers are already providing a lot of business value as they help reduce data bottlenecks, deliver more insights, and drive better business outcomes.
How might adding an API management solution to a data virtualization foundation deliver additional value? Download this white paper for five data virtualization plus API management opportunities to consider.