Data orchestration coordinates participation by all stakeholders throughout the end-to-end data workflow. From ingestion and curation to preparation and consumption, workflows are orchestrated through execution of services that encapsulate reusable functions for data capture, storage, harmonization, governance, access, and application. Built on a foundation of AI/ML and automation, orchestration technology eases the pain of configuration, operationalization, and execution of data pipelines and analytics value chains. From a single control platform, orchestration provides the ability to activate any service, using any technology, across any network. Automated coordination of multi-services workflows across all execution environments—on-premises, cloud, multi-cloud, and hybrid—minimizes the manual effort of data operations and supports highly adaptable data management systems that readily adapt to change.