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DataOps (data operations)


DataOps (data operations) is a business strategy that seeks to ensure an organization's data can be used in the most flexible, effective manner possible in order to achieve positive business outcomes.

Like the DevOps movement that broke down silos between software development and operations teams, the DataOps movement focuses on people as well as processes and software tools. It emphasizes communication and collaboration and its adoption is intended to foster a culture of continuous improvement supported by best practices.

DataOps grew out of a need for businesses to provide internal support for data governance and data-driven business projects. An important goal of the DataOps movement is to accelerate the speed with which data models are built, tested and deployed.

It's important for data engineers, data scientists and data analysts to have the ability to create data models and run tests with customer data in a way that complies with privacy regulations.

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