What is Kusto Query Language?

Kusto Query Language (KQL), developed by Microsoft in 2017, is a read-only language used for querying data without modifying it,
making it safe for data exploration. Originally introduced with Azure Data Explorer, KQL is now widely used across Azure services,
including Azure Monitor, Log Analytics, Application Insights, Microsoft Sentinel, Defender for Cloud, and Azure Graph Explorer for analytics, monitoring, and security insights.

There is a wide community that supports and shares knowledge around KQL.  It’s not just a tool for data professionals,
it’s used by Security professionals, and IT pros alike.

Basic components of KQL
To use KQL it’s important to understand some of the basic components.

Operators
Operators are essential to KQL’s functionality, they enable users to filter, project, summarize and join data, just to name a few.

Functions
Functions in KQL are predefined commands that perform specific operations on the data.
These functions allow users to perform things such as calculations, and transformations on their datasets.

Clauses
Clauses are segments of a query that defines specific actions or conditions.
They are critical to structuring KQL queries and ensuring that the desired data is retrieved.

The most common clause is the where clause. The where filter pulls out data from the dataset that matches the criteria given.

Conclusion
Kusto Query Language (KQL) is an invaluable tool for querying and analyzing lots of different types of data in Azure.
Its read-only nature ensures that data remains intact, making it both a safe and reliable option for exploration and troubleshooting.

Whether you’re just starting out or you’re looking to deepen your knowledge, KQL is a skill worth mastering.
Explore its capabilities, engage with the active community, and begin leveraging KQL to gain deeper insights into your data.

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