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Unlock the full potential of Databricks Free Edition! In this comprehensive, step-by-step tutorial, you'll learn how to set up your Databricks Free Edition environment from scratch, explore key features, and get hands-on with data engineering workflows. This video covers: Signing up for Databricks Free Edition Navigating the workspace and catalogs Setting up medallion architecture (bronze, silver, gold) Connecting GitHub for version control Using sample datasets and creating pipelines Installing libraries and managing environments Creating Delta Live Tables (Lake Flow declarative pipelines) Tips for beginners and common pitfalls Whether you're a data engineer, analyst, or just starting with Databricks, this guide will help you get up and running quickly. No credit card required—perfect for learning and building your portfolio! 🔗 Useful links: Databricks Free Edition: https://databricks.com/learn/free More Databricks tutorials: • Getting Started with Databricks 00:00 Introduction to Databricks Free Edition 00:21 Signing Up for Databricks Free Edition 01:24 Navigating the Databricks Workspace 01:47 Exploring Default Datasets and Catalogs 02:39 Setting Up Medallion Architecture Catalogs 05:57 Using the SQL Editor and Genie AI Assistant 07:15 Connecting Data Sources and Pipelines 09:33 Installing Python Libraries in Databricks 12:10 Setting Up GitHub Integration 👍 Like, comment, and subscribe for more data engineering tutorials! #Databricks #DataEngineering #FreeEdition #Tutorial #BigData #DataScience #Lakehouse #DeltaLake #BeginnerGuide