Author: @SuryaJ is a Program Manager in the Azure Synapse Customer Success Engineering (CSE) team. Introduction Kusto Query Language (KQL) is a powerful query language to analyse large volumes of structured, semi structured and unstructured (Free Text) data. It has inbuilt operators and functions that lets you analyse data to find trends, patterns, anomalies, create forecasting, and machine ...
Kusto Query Language (KQL) is the language used in Microsoft Sentinel to perform search, analysis, write detection rules and visualise data in Workbooks. The...
KQL stands for Kusto Query Language. It's the language used to query the Azure Data Explorer, Azure Defenders, Azure log databases: Azure Monitor Logs, Azure Monitor Application Insights and others. Kusto databases are perfect for massive amounts of streamed data like application logs and telemetry database.
In Conclusion… If you want to monitor and diagnose the performance of your application in Azure, KQL is a key resource. It is a good skill to have in your portfolio, especially if you are involved in load testing. Please make sure to check our other article about a Collection of Useful Tool for Performance Test Engineers, and please leave any questions in the comments section. Thanks!
Hello, I was wondering if its possible to write an if statement in a kql queryfor example i have a dropdownlist, and based on the value i want to...
I have a query like: customers |order by updateTime desc | project id,updateTime,name,updated,status | take 1 Which returns several columns, including status column being String. This field can be...
Learn how to talk to your KQL DB. Let's build a “Natural Language to KQL” app. One of the main use cases I am frequently asked about is providing users with the capability to query data intuitively and effectively, regardless of their technical background.
