Exercise - Cleanse, Transform, and Load Data into Unity Catalog
Now it's your chance to cleanse, transform, and load data into Unity Catalog. In this lab, you clean and reshape raw real estate data in Azure Databricks. You choose the right data types for prices and timestamps, remove duplicate listings and fill missing values using PySpark, and combine data across tables with inner and left joins. You also use SQL PIVOT and UNPIVOT to restructure market statistics for trend analysis.
Note
To complete this lab, you need an Azure subscription in which you have administrative access.
Launch the exercise and follow the instructions.
