Kusto Query Language
Kusto Query Language (KQL) is a powerful query language designed for analyzing large volumes of structured, semi-structured, and unstructured data in real-time. It is primarily used with Azure Data Explorer (ADX) and other Microsoft services like Azure Monitor, Azure Sentinel, and Application Insights to perform log and telemetry data analysis. KQL enables users to query, filter, aggregate, and visualize data efficiently with a syntax that is both expressive and optimized for big data scenarios.
Developers should learn KQL when working with Microsoft's Azure ecosystem, especially for monitoring, security, and data analytics tasks that involve processing logs, metrics, or telemetry data. It is essential for roles in DevOps, site reliability engineering (SRE), and data analysis where real-time insights from large datasets are required, such as troubleshooting application performance, detecting security threats, or analyzing user behavior in cloud environments.