KQL is a Microsoft homegrown query language that is madeopen source on GitHub. The language was developed with freedom and scale in mind. The queries are easy to read and adopt, with a lot of terms taken from plain English. For Example, if we want to select sample 10 records ...
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. Notes: In SPL we usually refer tofieldsinstead ofcolumns. In KQL docs there are many references ...
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While this approach is fine on simple queries and learning KQL, it is recommended to use KQL for Azure Synapse Data Explorer for more complex analytics. SQL to KQL Cheat Sheet is available to help in the journey from SQL to KQL! Schema and data types In order to write KQL, let us...