Next on the menu – The Editors or how do I write and execute KQL queries

In this post I will demonstrate multiple editors that will allow you to begin your KQL journey.
In this video I will cover Kusto Explorer, Azure SQL Analytics, Log Analytics (via Lens Explorer) and briefly mention KQL magic for Jupyter notebooks.

In the next session we will start the examination of the KQL language elements such as search, count, take, and where.

All the demo scripts are available at my GitHub repo – https://github.com/sqlbobt/KQL