Users can write and run KQL queries and author notebooks with the Kusto kernel complete with IntelliSense.
By enabling the native Kusto (KQL) experience in Azure Data Studio, data engineers, data scientists, and data analysts can quickly observe trends and anomalies against massive amounts of data stored in Azure Data Explorer.
This extension is currently in preview.
Prerequisites
If you don't have an Azure subscription, create a free Azure account before you begin.
To change the settings for the Kusto extension, follow the steps below.
Open the extension manager in Azure Data Studio. You can either select the extensions icon or select Extensions in the View menu.
Find the Kusto (KQL) extension.
Select the Manage icon.
Select the Extension Settings icon.
The extensions settings look like this:
SandDance visualization
The SandDance extension with the Kusto (KQL) extension in Azure Data Studio bring rich interactive visualization together. From the KQL query result set, select the Visualizer button to launch SandDance.