Being data-driven requires the ability to apply multiple analytics disciplines against data anywhere. To be able to process and stream real-time data from multiple endpoints at the edge, while predicting key outcomes and applying machine learning on that same data set. To be able to take advantage of public cloud infrastructure for its elasticity and self-service capabilities. And to be able to do all of this on an open platform, where consistent security and governance policies are applied everywhere the data lives and analytics run. This is what the industry calls an enterprise data cloud. Read the whitepaper to learn more about this emerging data management architecture.