How to Create Databricks Notebooks

Introduction

Databricks notebooks allow data engineers and analysts to write and execute code interactively.

Step 1: Create Notebook

Click New → Notebook in the workspace.

Step 2: Select Language

Databricks supports Python, SQL, Scala, and R.

Step 3: Attach Cluster

Connect the notebook to a compute cluster.

Conclusion

Databricks notebooks simplify collaborative analytics and data engineering tasks.

Databricks Clusters Explained

Introduction

Clusters provide the compute resources required to execute Databricks workloads.

Step 1: All Purpose Clusters

Used for interactive workloads.

Step 2: Job Clusters

Created for scheduled jobs and terminated automatically.

Step 3: Autoscaling

Clusters automatically increase or decrease resources.

Conclusion

Clusters help scale data workloads efficiently.