This scenario retrieves data from an Azure ADLS Gen2 file system, prepares the data, and then displays it.
For more technologies supported by Talend, see Talend components.
This scenario shows how to retrieve a Delta table from an ADLS Gen2 file system, apply a compatible preparation directly in the flow of the Job, and read the resulting data.
The tAzureAdlsGen2Input component allows you to access your Azure storage, and more specifically your Delta tables. By using the tDataprepRun component in the middle of your Job, you can even reuse an existing preparation created in Talend Data Preparation, to transform and clean the data before reading it or outputting it to the destination of your choice.
The following scenario creates a simple Job that:
- Retrieves customer data from a Databricks Delta table
- Directly applies a preparation with a compatible schema
- Reads the data in the output component
In this example, the Delta table contains basic customer information, such as name, age, birthday and phone number amongst other things.
This scenario assumes that a preparation has been created beforehand, on a dataset with the
same schema as your input data for the Job. In this case, the existing preparation is
This simple preparation puts last names in upper case, and changes the date format.