Up and Running with Kusto Query Language (KQL)
Released 8/2025
By Matt Stenzel
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 1m | Size: 139 MB
Released 8/2025
By Matt Stenzel
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 1m | Size: 139 MB
Are you ready to unlock data insights with Kusto Query Language (KQL)? Whether you're an aspiring data analyst, engineer, or security pro, this beginner-friendly course will teach you the basics of KQL for analyzing large and real-time datasets.
It can often be a challenge to query and analyze massive datasets used for analytics, security, and logs. Without the right tools, data retrieval can be slow and cumbersome, leading to delays in decision-making and security monitoring. Kusto Query Language (KQL) solves this problem by enabling fast, powerful, and flexible data exploration, and it can be used in a variety of Azure solutions including Fabric, Log Analytics, and Azure Data Explorer. In this course, Up and Running with Kusto Query Language (KQL), you’ll gain the ability to understand and write basic queries to gain insights from large datasets. First, you’ll explore how KQL is used in real-world applications through typical use cases, and you'll compare KQL with other languages. Next, you’ll discover how to navigate the KQL interface in Azure Data Explorer, understand basic Kusto objects, and see the fundamentals of KQL query structure. Finally, you’ll learn how to write and run basic KQL queries, combining multiple clauses to answer real-world questions and equipping yourself with practical KQL skills for security analysis and business intelligence. When you’re finished with this course, you’ll have the skills and knowledge of KQL needed to confidently analyze and monitor data across Microsoft solutions—allowing you to optimize workflows, enhance security, and drive smarter decisions.