AI-Powered Data Engineering Workflows: Positron for Databricks Users

Modern data engineering demands more. Move beyond the limitations of hosted notebooks and embrace the power of an IDE for modern data engineering. We’ll show you how Positron combines the best of local development with the scale of Databricks. In this session led by James Blair at Posit, we’ll cover: 1. AI-Driven Development: Moving from concept to code faster with built-in AI. 2. Seamless Exploration: Navigating data effortlessly with the Catalog Explorer. 3. Production-Grade Pipelines: Building, testing, and deploying robust workflows. Helpful Links: Download Positron: https://positron.posit.co/ Databricks Asset Bundles: http://docs.databricks.com/dev-tools/bundles GitHub Repo for Demo: https://github.com/blairj09/databricks-data-engineering Lakeflow Declarative Pipelines: http://docs.databricks.com/aws/en/ldp Talk to us about integrating Posit & Databricks: https://posit.co/schedule-a-call/