Pradeep Anandapu

As organizations scale data and AI initiatives on Databricks, speed and trust must advance together. This session explores how modern enterprises can operationalize trusted data and AI by combining security principles with actionable governance guardrails. Learn how the Databricks Data and AI Security Framework can be extended with policy‑driven controls that ensure consistent access, use, and governance of data across analytics and AI workflows. Join us for this discussion and live demo to see how guardrails can be applied across the AI lifecycle to help organizations manage risk, respect data‑use requirements, and demonstrate compliance without disrupting innovation. Attendees will gain practical insight into turning governance from static policies into enforceable, auditable controls that scale with Databricks — enabling confident, responsible data and AI initiatives at enterprise scale.

This hands-on lab guides participants through the complete customer data analytics journey on Databricks, leveraging leading partner solutions - Fivetran, dbt Cloud, and Sigma. Attendees will learn how to:- Seamlessly connect to Fivetran, dbt Cloud, and Sigma using Databricks Partner Connect- Ingest data using Fivetran, transform and model data with dbt Cloud, and create interactive dashboards in Sigma, all on top of the Databricks Data Intelligence Platform- Empower teams to make faster, data-driven decisions by streamlining the entire analytics workflow using an integrated, scalable, and user-friendly platform

In this live, instructor-led hands-on lab, you’ll learn how to build a modern data stack with Databricks and dbt, using dbt to manage data transformations in Databricks and perform exploratory data analysis on the clean data sets using Databricks SQL.