Setting up a notebook
As a data engineer for Sierra Publishing, you often have to work with various data analysts to create their reporting tables. In the past, your processes have been completely separated, often leading to slow or mismatched development needs. You would like to create a notebook that leverages Databricks collaboration and multi-language capabilities so you can work side by side in the same data asset.
You primarily work in Python, but your data analyst teams only know how to write SQL code. Which of the following setups will be a solution so you can all work in the same notebook?
This exercise is part of the course
Databricks Concepts
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
