This session will demonstrate how to leverage Databricks capabilities— including Lakeflow Jobs, Lakeflow Declarative Pipelines, Dashboards, and Databricks SQL—to meet modern data platform requirements. We will cover governance of data engineering workflows through DataOps practices, such as CI/CD integration and data quality monitoring.

Participants will learn how batch and streaming workflows extend the medallion architecture, with practical examples highlighting trade-offs and real-world considerations. The session will showcase how Databricks serves as a unified platform for data and analytics, enabling organizations to address complex challenges with efficiency and scale.

Designed for data engineers, analysts, and decision-makers, this talk provides actionable insights and field-tested practices to help teams maximize Databricks’ capabilities and deliver measurable business value.