Exercise - Design and Implement Data Pipelines with Azure Databricks

Completed

Now it's your chance to design and implement data pipelines with Azure Databricks. In this lab, you build a medallion architecture pipeline (Bronze → Silver → Gold) for GlobStay hotel booking data, applying cleaning rules such as deduplication, null filtering, and date validation before producing Gold-layer aggregations for property and channel performance. You implement error handling and parameterize notebooks for job orchestration. You then configure a Lakeflow Job in the Azure Databricks UI with sequential task dependencies, retry policies, failure notifications, and an If/else condition task for data quality routing.

Note

To complete this lab, you need an Azure subscription in which you have administrative access.

Launch the exercise and follow the instructions.