Like DevOps, DataOps promotes using advanced technology solutions to automate data management and operations processes while incorporating appropriate governance controls. To be successful, foundational components from data processors to data infrastructure (e.g., provisioning, configuration, and self-service) must be automated as much as possible. Further, the foundational requirements of the data pipeline (the ingestion, integration, quality, testing, deployment, and monitoring of the data) must be intricately connected by orchestration.