Source = "././modules/aws_fs_lakehouse/ " Workspaces_to_associate = ]ĭatabricks_workspace_url = module. security_groupĬross_account_arn = module. Source = "././modules/aws_customer_managed_vpc/ " databricks_account_idĭatabricks_account_username = var. databricks_account_passwordĭatabricks_account_id = var. This composed example is available the examples folder (test_full_aws_lakehouse_example) This can be similarly applied for Azure modules.ĭatabricks_account_password = var. Full End-to-End example on AWS for Composition of all modules above (see below).Industry Quickstarts with Sample Job and Pre-installed Libraries for Time Series, Common Domain Models (see aws_fs_lakehouse module).Unity Catalog Installation in aws_uc and azure_uc module (AWS | Azure).Platform Security Built in to Workspace deployment in aws_customer_managed_vpc and azure_vnet_injected_databricks_workspace module (Private Link, VPC endpoints, and secure connectivity) (AWS | Azure).Creation of Databricks-compliant VPC in aws_base or azure_spoke_vnet (AWS | Azure).See the test_aws_full_lakehouse_example for this version. There is also a full end-to-end example of a workspace deployment with governance and industry quickstarts included. There are 4 main modules which can be composed together. What's include in this sequence of Terraform modules? AWS | Azure This set of terraform templates is designed to allow every industry practitioner and devops team to get started quickly with the canonical Regulated Industries security best practices and governance setup as well as highly valuable industry libraries and quickstarts directly in your environment. Deploy Your Lakehouse Architecture Purpose
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