An Introduction To Kusto Query Language (KQL)


In my last article, An Introduction to Azure Data Explorer, I discussed the process of creating and using Azure Data Explorer. Azure Data Explorer is mainly used for storing and running interactive analytics on Big Data.

First, I need to create the ADX cluster. Then, one or more databases should be created inside the cluster. I may create one or more tables with columns under each database to populate data. Complex analytical queries are written on the table data using Kusto Query Language (KQL).  KQL offers excellent data ingestion and query performance. KQL has similarities with SQL language as