Setup guide - Hybrid SaaS Databricks on Azure

This document describes the necessary steps to follow to set up your first working project in Maia for the following configuration options:

Deployment type:

Hybris SaaS

Cloud platform:

Azure

Cloud data warehouse:

Databricks

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Video example

Expand this box to watch our video on how to setup Hybrid SaaS on Azure.

Video

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Prerequisites

Azure requirements

• An Azure subscription with appropriate permissions to provision cloud resources in the Azure environment and manage access control, specifically for managing:
  • Resource groups.
  • Virtual networks.
  • Key vaults.
  • Container apps.
• A suitable resource group already defined in your Azure environment.
• A suitable virtual network already defined in your Azure environment. The virtual network must:
  • Be fully configured, including routing to on-premises resources.
  • Allow egress to Matillion's Maia IP ranges.
  • Have room for one additional subnet with at least /27 IP range.
• A suitable key vault. You can use an existing key vault or a new one will be created as part of the setup process.
• Minimum permissions to include the following:
  • Create subnet.
  • Create managed identity.
  • Create key vault.
  • Create log analytics workspace.
  • Create container app and container app environment.
  • Modify subnet delegation.
• Role assignments in the resource group and key vault.

Databricks requirements

• A Databricks account with the following information:
  • Your Databricks instance name.
  • Your Databricks personal access token.

Connectivity requirements

• Access enabled for the IP addresses listed under the Hybrid SaaS section of Network access and IP Allowlist requirements.

Git requirements

If you choose to use your own Git provider instead of the Matillion-hosted Git option, you need the following:

• The Matillion Git app installed in your organization's account with one of the supported Git providers:
  • GitHub.
  • Azure DevOps.
  • GitLab.
  • Bitbucket.

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Setup steps

1. Register for a Maia account.
2. Create accounts for users and admins who will be active in Maia.
3. Create a Maia Foundation runner in Maia.
4. Deploy a Container App Maia Foundation runner in Azure using the recommended ARM template.
5. Create a project, making the following choices:
   • Select Advanced settings.
   • Select the Maia Foundation runner you created and deployed previously.
   • Select the Git provider you wish to use.
6. Create an environment using your Databricks credentials.
7. Set up secret definitions for passwords, API keys, and tokens.
8. Create a Git branch in which to begin pipeline work.
9. Create your first pipeline.