Azure Data Explorer
Fast and highly scalable data exploration service.
Learning
Learning Paths
Learn how to analyze data using the Kusto Query Language.
Levels: Beginner, Intermediate, Advanced
Roles: Business Analyst, Data Analyst, Data Scientist, Developer, Security Operations Analyst, Data Engineer, Technology Manager
Modules
Learn how to analyze data in Azure Data Explorer using the Kusto Query Language
Levels: Beginner, Intermediate, Advanced
Roles: Business Analyst, Data Analyst, Data Scientist, Developer, Security Operations Analyst
Modules
Learning Modules
Learn about the basics of Kusto Query Language (KQL), and the various Microsoft products that use it.
Evaluate whether Azure Data Explorer is appropriate to process and analyze your big data.
Use Azure Data Explorer to characterize an unfamiliar dataset. Explore the schema of the data, run queries to examine the range of the data, and share these insights with others.
Learn how to create dashboards in Azure Data Explorer. You'll add tiles and visualizations, and then share the dashboard with others.
Construct KQL statements for Microsoft Sentinel
Design a solution to log and monitor Azure resources
Learn how to write advanced queries in Kusto Query Language (KQL) by using the aggregation functions, the render operator, and variables.
Learn how to write simple queries in Kusto Query Language (KQL) by using the operators take, project, count, where, and sort.
Learn how to write Kusto Query Language (KQL) queries to combine and retrieve data from two or more tables by using the `lookup`, `join`, and `union` operators.