Enterprises want to use all of their data. Bringing it all together and delivering data is the challenge. Extensive moving and copying of data creates discordant context. And the proliferation of data sources for bespoke use cases creates administrative and management chaos for database administrators, stewards, and data engineers. The pendulum has swung toward dynamic data sourcing and delivery, and increased self-service and role-based consumption. Data technology trends have ushered in data as a service (DaaS), but these architectures can only work with a modern strategy and architecture for the metadata. In this report, we explain how to become metadata-driven to succeed with DaaS.