Summary

In this chapter, we took a visual tour of the Databricks Lakehouse platform. We focused on the lakehouse platform primarily from the perspective of a business intelligence user – that is, the SQL persona. We familiarized ourselves with the various features and toolsets that the Databricks SQL product provides to enable the daily activities of users.

We also briefly examined the Data Science & Engineering and Machine Learning persona views of the Databricks Lakehouse platform, which we will not revisit as they are not the focus of this book.

Finally, while looking at the various features and toolsets, we learned how they map to the various layers of the Lakehouse architecture and how the same data is leveraged for all users of the data in the Lakehouse.

In the next chapter, we will start our deep dive into the features and toolsets in the Databricks SQL product, starting with the data catalog.