Apache Spark 3 for Data Engineering and Analytics with Python - Creating our First 2 Databricks Notebooks

This video tutorial guides users through creating and managing notebooks in Databricks. It covers navigating the workspace, creating new notebooks, and setting up a Spark session. The tutorial also explains how to import necessary libraries and manage storage options for collaborative work. By the end, users will be able to create and manage notebooks, import libraries, and set up a Spark session for data processing.

What is the significance of the shared folder and users folder in Databricks?

What steps are involved in creating a new SQL notebook?

How do you attach a cluster to run a notebook in Databricks?