What is DataOps?

DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics.

DataOps utilizes process and workflow automation to improve and facilitate communication and coordination within a team and between the groups in the data organization. DataOps restructures data analytics pipelines as services (or microservices) that create a robust, transparent, efficient, repeatable analytics process that unifies all development and operations workflows. It enables teams to work independently, according to the iteration cadence appropriate to their toolchain, and then, with minimal manual steps, brings their work together into a unified whole for delivery to customers. As a practice DataOps can help organizations make better decisions, faster by reducing analytic cycle time from weeks or months to hours.