The rapid adoption of the cloud has led to a shift in how data is handled, enabling automation and real-time turnaround. Traditional "data integration" no longer adequately describes the activities that support end uses of data, as data must now flow in many directions between various platforms. Organizations are using data movement to replicate data across operational systems, create hot-standby databases for high availability, and activate data models back into applications. To scale the use of data responsibly, organizations must also assume certain obligations and responsibilities concerning data governance, security, and extensibility. Data governance enables organizations to know, access, and protect their data, while security features ensure regulatory compliance, manage brand risk, and safeguard customer information. Extensibility features enable organizations to programmatically control a growing ecosystem of data management tools and embed data assets into products. By moving data in real-time to both analytical and operational platforms, organizations can be competitive and innovative, sacrificing opportunities for agility and responsiveness if they do not.