Azure Analysis Services Administration

This section provides comprehensive guidance on administering your Azure Analysis Services (AAS) instances. Effective administration ensures the availability, performance, and security of your analytical models.

Key Administration Tasks

1. Provisioning and Scaling

Learn how to create new Azure Analysis Services instances and scale them up or down based on your workload requirements. This involves understanding different performance tiers and their associated costs.

• Creating an Azure Analysis Services instance
• Understanding pricing tiers
• Scaling your instance

2. Monitoring and Performance

Monitor the health and performance of your AAS instance to identify bottlenecks and optimize query execution. We cover using Azure Monitor, Dynamic Management Views (DMVs), and performance counters.

• Using Azure Monitor for AAS
• Interpreting DMVs for performance insights
• Setting up alerts for critical metrics
• Best practices for query optimization

3. Security Management

Secure your AAS data and models by configuring access control, authentication, and authorization. This includes managing roles, users, and service principals.

• Configuring Azure Active Directory integration
• Defining roles and permissions
• Implementing row-level security
• Managing service principals for programmatic access

4. Backup and Restore

Implement a robust backup and restore strategy to protect your valuable data. Learn about automated backups and manual restore procedures.

• Configuring automated backups
• Performing manual backups
• Restoring an instance from a backup

5. Deployment and Management Tools

Explore the various tools available for deploying, managing, and interacting with your AAS models. This includes SSMS, Visual Studio, and PowerShell.

• Using SQL Server Management Studio (SSMS)
• Developing models with Visual Studio
• Automating tasks with Azure PowerShell
• Using Azure Resource Manager (ARM) templates for deployment

Troubleshooting Common Issues

Find solutions to frequently encountered administration problems, from connection errors to performance degradation.

• Resolving connectivity issues
• Diagnosing slow query performance
• Handling resource limitations

This documentation aims to provide a solid foundation for managing your Azure Analysis Services environment. For more advanced topics, please refer to the specific sections on modeling, security, and performance tuning.