How to Create a Databricks Notebook (Step-by-Step Guide)

Databricks Notebooks allow developers and data engineers to write Python, SQL, R, and Scala code interactively. They are central to analytics, ETL, and ML workflows.

Steps to Create a Notebook

1. Login to Databricks Workspace
2. Click New → Notebook
3. Select a language (Python/SQL/R/Scala)
4. Attach a cluster
5. Start writing your code

Sample Python Code

df = spark.read.csv("/mnt/data/sales", header=True)
df.display()

Best Practices

• Use markdown to document notebooks
• Enable cluster auto-termination
• Use Delta format for storage
• Create widgets for parameterization

Conclusion

Databricks Notebooks are highly flexible and powerful for building data pipelines and analytical workflows. They remain one of the most user-friendly tools for data teams.