Microsoft Docs

Managing Azure Analysis Services

This section provides comprehensive guidance on managing your Azure Analysis Services instances, including tasks related to deployment, monitoring, scaling, and operational maintenance.

Key Management Operations

1. Deployment and Configuration

Learn how to deploy new Azure Analysis Services instances and configure their settings. This includes understanding different pricing tiers, network configurations, and integration with other Azure services.

• Creating an Azure Analysis Services instance
• Configuring network security (VNet integration, Private Endpoint)
• Choosing the right tier and capacity

2. Monitoring and Performance

Effective monitoring is crucial for maintaining the health and performance of your Analysis Services environment. Discover how to use Azure Monitor, diagnostic logs, and performance counters.

• Using Azure Monitor for performance metrics
• Configuring diagnostic logs
• Analyzing query performance
• Best practices for query optimization

3. Scaling and Capacity Planning

Scale your Azure Analysis Services instance up or down based on workload demands. Understand how to adjust the QPU (Query Processing Unit) capacity and the implications for performance and cost.

• Scaling operations (scale-up/scale-down)
• Understanding QPU scaling
• Capacity planning strategies

4. Backup and Restore

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

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

5. Security Management

Manage access and permissions for your Azure Analysis Services instance. This includes role-based access control (RBAC) and database-level permissions.

• Managing Azure RBAC roles
• Configuring database roles and permissions
• Implementing row-level security

6. Integration with Azure Tools

Leverage other Azure services to enhance your management capabilities.

• Using Azure Data Factory for data pipelines
• Integrating with Azure Active Directory for authentication
• Using Azure Automation for scripting management tasks

Example: Monitoring Query Performance

You can monitor query performance by querying the sys.dm_exec_query_stats dynamic management view (DMV) in your Analysis Services instance. Here's a sample T-SQL query (executed via AMO or PowerShell):

SELECT
    SUM(total_elapsed_time) / SUM(execution_count) AS avg_elapsed_time,
    SUM(total_worker_time) / SUM(execution_count) AS avg_cpu_time,
    SUM(total_bytes_sent) / SUM(execution_count) AS avg_bytes_sent,
    SUM(execution_count) AS execution_count,
    SUBSTRING(qt.text, (er.statement_start_offset/2)+1,
        ((CASE er.statement_end_offset
            WHEN -1 THEN DATALENGTH(qt.text)
            ELSE er.statement_end_offset
         END - er.statement_start_offset)/2) + 1) AS statement_text
FROM
    sys.dm_exec_query_stats AS er
CROSS APPLY
    sys.dm_exec_sql_text(er.sql_handle) AS qt
GROUP BY
    er.statement_start_offset, er.statement_end_offset, qt.text
ORDER BY
    avg_elapsed_time DESC;