Getting started with Bauplan Labs

Bauplan Labs (often referred to as Bauplan Labs) is a modern cloud-native serverless platform focused on making data engineering and AI-based applications as programmable and developer-friendly as software engineering itself. The platform is designed to handle complex data workflows, pipeline automation, and versioning by abstracting infrastructure hassles, allowing developers to work directly with Python code and familiar git-style concepts like branching, commit, and merge on large datasets. Chapters 00:00 - Introduction and Meet the Founders. 01:30 - The Lakehouse Philosophy and Architecture. 04:00 - Why Python and Functions-as-a-Service?. 06:00 - Simplifying the Data Engineering Stack. 08:30 - Getting Started with Bauplan. 11:00 - Bauplan vs. Spark for Enterprise Workloads. 13:00 - Data Governance and Git-Like Branching. 17:30 - Part 2: Automating Data Engineering with AI. 20:00 - Live Demo: AI Agents Fixing Data Pipelines. 24:30 - Conclusion and Wrap-up. Useful Links: https://www.bauplanlabs.com to learn about Bauplan and sign up for a free trial https://arxiv.org/pdf/2510.09567 to read more on the design of the agentic lakehouse For more content : https://www.nextgenlakehouse.com/ #databricks Author: Youssef Mrini