Getting Started with Kusto Query Language (KQL) for Real-Time Intelligence

KQL (Kusto Query Language) is a powerful tool for exploring data and uncovering patterns, especially in large datasets. This session, designed for absolute beginners, will introduce you to KQL and its capabilities within Microsoft Fabric for Real-Time Intelligence.

You’ll learn the basics of KQL, including syntax, core concepts, and practical applications. Using Microsoft’s sample datasets, we’ll explore querying data, filtering and aggregating results, performing join operations, applying window functions, and more. Additionally, we’ll demonstrate how to visualize query results for actionable insights.

By the end of this session, you’ll have the foundational skills to use KQL effectively in Microsoft Fabric, empowering you to make data-driven decisions with real-time insights.

1. Learn key concepts in Real Time Intelligence in Microsoft Fabric such as Eventhouse, EventStream, KQL Database, and KQL QuerySet. 2. Understand the basics of Kusto Query Language, including its syntax and core concepts including filtering, aggregations, and window functions. 3. Discover how to visualize query results for actionable, real-time insights.