The term DataOps can be defined as a framework that addresses issues with data architecture and integration and offers data standards and contextualization for use across the organization. In order to securely deliver reliable, intelligible, and ready-to-use data across the organization, DataOps orchestrates people, processes, and technology in a repeatable and scalable manner. In an industrial setup, DataOps enables collaboration among data stakeholders across the organization.

The term DataOps can be defined as a framework that addresses issues with data architecture and integration and offers data standards and contextualization for use across the organization. In order to securely deliver reliable, intelligible, and ready-to-use data across the organization, DataOps orchestrates people, processes, and technology in a repeatable and scalable manner. In an industrial setup, DataOps enables collaboration among data stakeholders across the organization.

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