Azure machine learning with Synapse and Spark

Create Azure Synapse architecture with Spark for your Machine Learning needs.
Chafik Belhaoues
Chafik Belhaoues
Updated
Sep 16, 2025
19
Azure machine learning with Synapse and Spark
## Description **N.B:** - The Terraform code is automatically generated with best practices and contains variables that you can customize to fir your needs. - You have full control to change, add, delete resources or their configuration. The newly generated code will reflect these changes. - You can replace some resources with Terraform modules. > terraform apply status: successful > ## Architecture components ## Requirements | Name | Configuration | | --- | --- | | Terraform | all versions | | Provider | Azure | | Provider version | >= 4.5.0 | | Access | Contributor access | ## How to use the architecture Clone the architecture and modify the following variables according to your needs: | Variable | Description | | --- | --- | | location | The default location of the infrastructure | | tags | The tags to be added in all resources that support it | **N.B:** - Feel free to remove the resources that are not relevant to your use-case. - Some variables have default values, please change it if it doesn't fit your deployment. ## Maintainer(s) You can reach out to these maintainers if you need help or assistance: - [Brainboard team](mailto:support@brainboard.co)
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