Note
Access to this page requires authorization. You can try signing in or changing directories.
Access to this page requires authorization. You can try changing directories.
Kusto Query Language (KQL) is a powerful tool to explore your data and discover patterns, identify anomalies and outliers, create statistical modeling, and more. Are you new to KQL or want to improve your KQL skills? Take a look at the following learning resources. For more information on KQL, see KQL overview.
General training
This training isn't product-specific, and provides basic KQL learning:
- Pluralsight: KQL from scratch
- Kusto Detective Agency
- Tutorial: Learn common operators
- Tutorial: Use aggregation functions
- Tutorial: Join data from multiple tables
- Cloud Academy: Introduction to Kusto Query Language
Azure Data Explorer
- Tutorial: Create geospatial visualizations
- Data analysis in Azure Data Explorer with Kusto Query Language
- Free Pluralsight training: Azure Data Explorer
Real-Time Intelligence in Microsoft Fabric
Azure Monitor
- Tutorial: Detect and analyze anomalies using KQL in Azure Monitor
- Analyze monitoring data with Kusto Query Language
- Koenig: KQL for Azure Admins