This session will include a moderated Q&A featuring questions from the live audience.
DataOps is a process-focused and automated methodology that concentrates on reducing the cycle time and improving the quality of analytics. DataOps builds on the concepts of DevOps, continuous integration and delivery (CI/CD), and agile. These concepts support quick and efficient software delivery, but analytics is more than software—it is also about the delivery of insights. DataOps needs to deliver consistent and meaningful data which means the automation of the data lifecycle of acquisition, understanding, integration, transformation, and deployment. This session will address best practices that contribute to consistent and automated analytics results.