Workflow demo

From SDKs to Agents: Building with R and Python on Databricks

Databricks offers a rich ecosystem of packages for R and Python developers. This session explores the key tools available—like {ellmer}, {brickster}, and the Databricks SDKs—helping developers build scalable workflows and AI-powered applications. Whether you're working in R or Python, you'll learn how to integrate your IDE, leverage Databricks-hosted LLMs, and build agentic workflows. We’ll cover practical implementations, best practices, and how to scale your projects using Databricks’ robust infrastructure. Whether you're automating workflows or deploying AI-driven solutions, this talk provides the essential toolkit for success.

Speakers

Rafi Kurlansik

Principal Product Specialist at Databricks

Rafi is a Principal Product Specialist at Databricks where he specializes in Data Science, Machine Learning and the Developer Experience. He has also helped many customers scale their R workloads with Spark. In his spare time he enjoys gardening, cooking up a storm, and video game sessions with his three children.

Zac Davies

Solutions Architect at Databricks

Zac Davis is a Senior Solutions Architect at Databricks, based in Sydney, Australia, where he helps customers design and implement data and AI solutions. Formerly a Data Scientist, Zac contributes to several R packages, including sparklyr and brickster.