Learn about how to use Kusto Query Language (KQL) to explore data, discover patterns, identify anomalies, and create statistical models.
Learn about how to use Kusto Query Language (KQL) to explore data, discover patterns, identify anomalies, and create statistical models.
Kusto Query Language is a powerful intuitive query language, which is being used by many Microsoft Services. KQL Language concepts Relational operators (filters, union, joins, aggregations...
CMPivot queries Related content Tutorial: Learn common operators Tutorial: Use aggregation functions KQL quick reference SQL to Kusto Query Language cheat sheet Query best practices Feedback War dës Säit hëllefräich? JoNee
Kusto Query Language is a powerful intuitive query language, which is being used by many Microsoft Services. KQL Language concepts Relational operators (filters, union, joins, aggregations...
Learn about how to use Kusto Query Language (KQL) to explore data, discover patterns, identify anomalies, and create statistical models.
Kusto Query Language (KQL) reference doc Also consider this nice cheatsheet doc from Markus Bakker:https://github.com/marcusbakker/KQL/blob/master/kql_cheat_sheet_v01.pdf SPL-to-KQL Cheatsheet SPL Quick Reference doc can be foundhere.
Transitioning from SQL to KQL is made easier with a handy cheat sheet provided by Microsoft, which maps SQL commands and concepts to their KQL equivalents. This cheat sheet covers a wide range of categories such as selecting data from tables, null evaluation, comparison operators, grouping, aggre...
A good way tothink of a KQL query is as a pipeline: It involves first getting data, then filtering it, before summarizing and sorting, and finally selecting the results you need. There’s some similarity to the structure of a PowerShell command, with a more explicit requirement for ordering...
Learn about how to use Kusto Query Language (KQL) to explore data, discover patterns, identify anomalies, and create statistical models.