Josephine Bush tracks what’s happening on that Azure SQL Database:
According to Microsoft, “Kusto Query Language (KQL) is a powerful tool to explore your data and discover patterns, identify anomalies and outliers, create statistical modeling, and more. The query uses schema entities that are organized in a hierarchy similar to SQLs: databases, tables, and columns.”
Note: KQL is case-sensitive for everything. Also, remember to refrain from querying everything just like you wouldn’t with SQL — don’t do the equivalent of SELECT * from gianttable.
Microsoft also has a lot of documentation with best practices and a quick reference guide to the Kusto commands. This blog post covers the ones I use the most.
Read on for a primer on the language, specifically some of the things you can do when reading Azure SQL Database audit information.
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