Beginning Kusto Query Language: Write Your First KQL Queries

Need to analyze massive log files and data streams but don't know where to start? Kusto Query Language (KQL) is the key to unlocking insights from big data environments. This course guides you from absolute beginner to confidently writing your own search and analysis queries through clear, written explanations and practical code examples. You will learn how to extract, filter, and organize raw log data into meaningful reports. What you'll learn: 1. Learn the fundamental syntax and structure of Kusto Query Language. 2. Filter and refine your dataset using operators like where, take, and limit. 3. Organize and format your results with project, sort, and extend operators. 4. Summarize large volumes of data using count and aggregation functions. 5. Apply performance best practices by structuring queries with efficient time-range filters. 6. Practice writing queries to analyze real-world log scenarios through written exercises. We begin with essential terminology and the core structure of a KQL query before moving step-by-step through basic data retrieval, filtering, and summarization techniques. You will read structured explanations and practice writing queries to solve realistic data analysis scenarios. This course is designed for beginners with no prior database or querying experience who want to learn how to analyze log data. Start writing your first KQL queries today and gain immediate insights from your data.