terraform-azure/quickstart/201-synapse-secure

Azure Synapse Analytics workspace (moderately secure network set up)

This deployment configuration specifies an Azure Synapse Analytics workspace, and its associated resources including Azure Data Lake Storage (gen2), Synapse Spark Pool and Synapse SQL Pool.

In addition to these core services, this configuration specifies any networking components that are required to set up Azure Synapse Analytics for private network connectivity using Azure Private Link.

This configuration describes the minimal set of resources you require to get started with Azure Synapse Analytics in a network-isolated set-up. This configuration creates new network components. Use Azure Bastion to securely connect to the Virtual Machine.

Resources

Terraform Resource Type	Description
azurerm_resource_group	The resource group all resources get deployed into
azurerm_bastion_host	An Azure Bastion Instance to securely RDP/SSH into Virtual Machines deployed into the Virtual Network
azurerm_windows_virtual_machine	A Windows Data Science Virtual Machine used for connecting to the Azure Machine Learning workspace
azurerm_application_insights	An Azure Application Insights instance associated to the Azure Machine Learning workspace
azurerm_key_vault	An Azure Key Vault instance associated to the Azure Machine Learning workspace
azurerm_storage_account	An Azure Storage instance associated to the Azure Machine Learning workspace
azurerm_container_registry	An Azure Container Registry instance associated to the Azure Machine Learning workspace
azurerm_machine_learning_workspace	An Azure Machine Learning workspace instance
azurerm_virtual_network	An Azure Machine Learning workspace instance
azurerm_subnet	An Azure Machine Learning workspace instance
azurerm_private_dns_zone	Private DNS Zones for FQDNs required for Azure Machine Learning and associated resources
azurerm_private_dns_zone_virtual_network_link	Virtual network links of the Private DNS Zones to the virtual network resource
azurerm_private_endpoint	Private Endpoints for the Azure Machine Learning workspace and associated resources
azurerm_machine_learning_compute_instance	An Azure Machine Learning compute instance a single-node managed compute.
azurerm_machine_learning_compute_cluster	An Azure Machine Learning compute cluster as multi-node shared and managed compute.
azurerm_network_security_group	Network security group with required inbound and outbound rules for Azure Machine Learning.

Variables

Name	Description	Default
name	Name of the deployment	-
environment	The deployment environment name (used for pre- and postfixing resource names)	dev
location	The Azure region used for deployments	East US
vnet_address_space	Address space of the virtual network	["10.0.0.0/16"]
training_subnet_address_space	Address space of the training subnet	["10.0.1.0/24"]
aks_subnet_address_space	Address space of the aks subnet	["10.0.2.0/23"]
ml_subnet_address_space	Address space of the ML workspace subnet	["10.0.0.0/24"]
image_build_compute_name	Name of the compute cluster to be created and configured for building docker images (Azure ML Environments)	image-builder
dsvm_name	Name of the Windows Data Science VM resource	vmdsvm01
dsvm_admin_username	Admin username of the Windows Data Science VM	azureadmin
dsvm_host_password	Password for the admin username of the Data Science VM	-

Usage

1. Copy terraform.tfvars.example to terraform.tfvars
2. Update terraform.tfvars with your desired values
3. Run Terraform

   $ terraform init
   $ terraform plan
   $ terraform apply
   

Learn more

• If you are new to Azure Synapse Analytics, see Azure Synapse Analytics service and Azure Synapse Analytics documentation.
• To learn more about security configurations in Azure Synapse Analytics, see Azure Synapse Analytics security white paper.
• For all configurations of Azure Synapse Analytics in Terraform, see Terraform Hashicorp AzureRM provider documentation.