Notebooks have exploded in recent years - where they were originally seen as a tool for academics writing whitepapers, they have been widely adopted as a better way of managing code. We've seen notebooks be heavily adopted in Data Science, but more recently in Data Engineering and even SQL Analysis.

In this video we look at developing in a Spark environment using Notebooks. We'll explore how to make the most of Notebooks, productivity shortcuts and a demo of how it actually works.

NOTE: Demos and examples are presented in Databricks Notebooks. Any variances on other platforms are called out where relevant.