In this series we look at building a Streaming ETL with Azure Data Factory and CDC – Creating a Data Source Connection in Azure Data Factory. This is Part 5, The rest of the series is below.
- Enabling CDC
- Setting up Audit Tables
- Provisioning Azure Data Factory
- Provisioning Azure Blog Storage
- Create Data Source Connection in ADF
- Create Incremental Pipeline in ADF
- Create a Parameter Driven Pipeline
- Create a Rolling Trigger
This series uses the Adventureworks database. For more information on how to get that set up see my Youtube video for Downloading and Restoring the database.
- Create a new Dataset as a SQL Server.
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- Name it DimProperty and select your Integrated Runtime for the local SQL server. For the table, select the CDC table.
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- Create a new Dataset and this time select Azure Blob Storage and a DelimitedText.
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- Name the csv_DimProperty and select New Linked Service.
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- Name the blob storage “DataLake” to match your storage account and point it to your storage account in the subscription.
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- Select the “datalake” from the file folder section or type it in and set first row as header and select ok to complete.
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- We should now have our two datasets in the resource’s sections for the property CDC transfer. Select Publish All at the top to save your changes
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Streaming ETL with Azure Data Factory and CDC – Creating a Data Source Connection in Azure Data Factory