It's time for us data professionals to learn from the best practices of software engineering. The current approach to building data and analytics pipelines is fraught with lengthy and complex tasks that lead to higher costs and poor quality. They also result in poor developer experience. DataOps applies the DevOps principles to data to help deliver data products faster and with reliability. In this session, we will examine the DataOps principles of automation, orchestration, continuous testing and deployment, and observability.

You will learn:

• Why DataOps should be a core part of modern data and analytics
• How it benefits the end users
• What the core components of DataOps are