If you want to quickly get started with Databricks—whether you’re new to it or already experienced-dbdemos is a great tool to know about. It offers ready-to-use demo environments that show real-world examples across data engineering, data science, machine learning, and analytics.

In this post, you’ll know what dbdemos is, how you can start using it, and why it’s such a helpful resource for learning and trying out ideas quickly.

What is DBDemos?

DBDemos is a collection of ready-made demo projects created and maintained by Databricks. It includes pre-built notebooks, sample datasets, and workflows that help you explore different use cases like:

• Data Engineering
• Machine Learning and MLOps
• Real-Time Analytics
• Delta Lake and Structured Streaming
• Data Governance
• Generative AI and Large Language Models (LLMs)

These demos follow best practices and are regularly updated to match the newest features in Databricks, making it easy to learn and experiment with real-world scenarios.

Why Use dbdemos in Databricks?

1. Instant Setup
   Quickly launch real-world examples like Delta Lake, ML, LLMs, and streaming — all with just one command.
   No need to manually set up clusters, notebooks, or data.
2. Easy to Learn
   Perfect for beginners or teams wanting to explore Databricks hands-on.
   Each demo includes clear, step-by-step notebooks.
3. Fast Prototyping
   Use the demos as a base for your own projects — whether it’s data pipelines, ML models, or dashboards.
   You can easily tweak the code for your own data.
4. Covers Many Features
   Demos include:

• • Delta Live Tables
  • Unity Catalog & Governance
  • MLflow & Feature Store
  • LLM apps (like chatbots and RAG)
  • Databricks SQL & Dashboards

5. Free and Open Source
   Available on PyPI and GitHub, with no extra cost.
   Maintained by Databricks with help from the community.

How to Install and Use dbdemos:

1. Open your Databricks workspace and launch a notebook.
2. Install dbdemos via PyPI by running the below command in a notebook cell:

This installs the dbdemos package in your notebook environment.

3. To list all the available demos:

output:

This will show all the demo projects that you can choose and run(like lakehouse, Data Engineering, Governance, Dbsql, Data-Science).

4. For example, to install the lakehouse-fsi-credit demo

This command will automatically set up the necessary clusters, notebooks, and datasets for you.

5. Follow the notebooks that come with the demo to learn or customize the workflows.

Final Thoughts:

Whether you’re just getting started with Databricks or looking to build on your skills, dbdemos makes it easy to learn and try things out quickly. Give it a try, you can start exploring the full power of the Databricks Lakehouse Platform with just one simple command.

Pallavi A