This repository contains a collection of Databricks workshops designed for direct implementation. Each workshop provides hands-on, step-by-step guidance for specific data engineering, analytics, or machine learning tasks within Databricks. The content is modular and ready to use, helping teams accelerate solution development and learning.
Databricks support doesn't cover this content. For questions or bugs, please open a GitHub issue and the team will help on a best effort basis.
© 2025 Databricks, Inc. All rights reserved. The source in this notebook is provided subject to the Databricks License [https://databricks.com/db-license-source]. All included or referenced third party libraries are subject to the licenses set forth below.
| library | description | license | source |
|---|---|---|---|
| MLflow | Open-source platform for managing the complete machine learning lifecycle, including experiment tracking, model management, and deployment | Apache License 2.0 | https://github.com/mlflow/mlflow/blob/master/LICENSE.txt |