This tutorial guides you through the process of creating an Azure Analysis Services instance using the Azure portal.
Steps to Create an Azure Analysis Services Instance
1. Sign in to the Azure portal.
Navigate to https://portal.azure.com/ and sign in with your Azure account.
2. Create a new resource.
In the Azure portal, click Create a resource (the plus icon in the top-left corner).
3. Search for Azure Analysis Services.
In the search bar, type "Azure Analysis Services" and select it from the results.
4. Configure the instance.
Click Create.
On the Basics tab:
- Subscription: Select your Azure subscription.
- Resource group: Create a new one or select an existing one. A resource group is a logical container for your Azure resources.
- Server name: Enter a globally unique name for your Analysis Services server. This name will be part of the server's URL.
- Location: Choose the Azure region where you want to deploy your server.
- Pricing tier: Select a pricing tier based on your performance and scalability needs. Common tiers include Developer, Basic, and Standard.
Click Next: Scale and data sources.
5. Configure Scale and Data Sources (optional).
On the Scale and data sources tab, you can configure:
- Scale type: Choose between Development and Production. Development is suitable for testing and development, while Production offers higher availability and performance.
- Capacity: For production tiers, you can select the desired capacity in server processing units (SPUs).
- Data source access: Configure how your Analysis Services instance will access data sources. For now, you can leave this as default.
Click Next: Connectivity.
6. Configure Connectivity (optional).
On the Connectivity tab, you can configure networking settings such as public and private endpoints. For initial creation, you can accept the defaults.
Click Next: Access control (IAM).
7. Configure Access Control (IAM).
On the Access control (IAM) tab, you can assign roles to users or groups to manage access to your Analysis Services instance. You can configure this later if needed.
Click Next: Tags.
8. Add Tags (optional).
On the Tags tab, you can add tags (key-value pairs) to help organize your Azure resources.
Click Next: Review + create.
9. Review and create.
Review all the settings you have configured. If everything is correct, click Create.
Azure will now deploy your Analysis Services instance. This process may take a few minutes. You will receive a notification when the deployment is complete.
Next Steps
Once your Azure Analysis Services instance is created, you can:
- Connect to the server using tools like SQL Server Data Tools (SSDT) or Visual Studio.
- Manage the server, including setting up permissions, scaling, and monitoring.
- Create models and deploy them to your server.
Note: The pricing tier you select will significantly impact the cost and performance of your Azure Analysis Services instance. Choose wisely based on your project requirements.
Tip: For development and testing, consider using the Developer or Basic pricing tier to minimize costs. You can always scale up later if needed.