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Automate an Azure Databricks Notebook with Azure Data Factory
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You can use notebooks in Azure Databricks to perform data engineering tasks, such as processing data files and loading data into tables. When you need to orchestrate these tasks as part of a data engineering pipeline, you can use Azure Data Factory.
This exercise should take approximately 40 minutes to complete.
This exercise should take approximately 40 minutes to complete.