Kusto Query Language (KQL)

Learn KQL in your own Azure environment

What you'll learn
- Basics Azure: Build a solid foundation in Microsoft Azure, understanding its ecosystem, core services, and how KQL fits into Azure
- Kusto Query Language: Dive into KQL fundamentals - learn its syntax, logic, and how it’s used to query structured, semi-structured, and unstructured data
- Azure Log Analytics: Understand how Azure Log Analytics serves as a central platform for collecting, storing, and analyzing log data from multiple sources
- KQL Operators – Find Relevant Data by Filtering or Searching: Master filtering and searching techniques to pinpoint the most relevant data
- KQL Operators – Operations Using Date and Time Functions: Learn to apply KQL’s powerful date and time operators
- KQL Operators – Add or Remove Columns in a Table: Gain control over your datasets by learning how to manipulate table structures
- KQL Operators – Restructure Data by Sorting or Grouping: Organize and summarize large datasets
- KQL Operators – Restructure Data to Output in a Useful Way: Discover how to transform raw query results into actionable reports
- Other KQL Concepts: Explore additional KQL capabilities and best practices
- KQL in Azure Monitor: Learn to leverage KQL within Azure Monitor to build powerful queries that enhance observability

Requirements
- Basic IT Knowledge
- Willingness to learn cool stuff!

Description
Kusto Query Language (KQL) by Christopher Nettis a meticulously organized Udemy course designed for IT professionals and cloud engineers aiming to master data querying and analysis in Azure using KQL. This course systematically guides you from the basics of Azure to advanced KQL concepts, empowering you to extract valuable insights from massive datasets efficiently.

By mastering KQL, you’ll gain the analytical and technical skills essential for monitoring, troubleshooting, and optimizing Azure environments - a critical capability in today’s data-driven IT landscape. Key benefits for you:

Basics Azure:Build a solid foundation in Microsoft Azure, understanding its ecosystem, core services, and how KQL fits into Azure’s monitoring and analytics tools.

Kusto Query Language:Dive into KQL fundamentals - learn its syntax, logic, and how it’s used to query structured, semi-structured, and unstructured data effectively.

Azure Log Analytics:Understand how Azure Log Analytics serves as a central platform for collecting, storing, and analyzing log data from multiple sources using KQL.

KQL Operators – Find Relevant Data by Filtering or Searching:Master filtering and searching techniques to pinpoint the most relevant data quickly and accurately.

KQL Operators – Operations Using Date and Time Functions:Learn to apply KQL’s powerful date and time operators to analyze trends, detect anomalies, and correlate events over time.

KQL Operators – Add or Remove Columns in a Table:Gain control over your datasets by learning how to manipulate table structures, selecting or excluding data fields for precise analysis.

KQL Operators – Restructure Data by Sorting or Grouping:Organize and summarize large datasets using sorting and grouping operations to reveal meaningful patterns and insights.

KQL Operators – Restructure Data to Output in a Useful Way:Discover how to transform raw query results into actionable reports and dashboards optimized for decision-making.

Other KQL Concepts:Explore additional KQL capabilities, including joins, unions, subqueries, and rendering options, to elevate your data analysis skills.

KQL in Azure Monitor:Learn to leverage KQL within Azure Monitor to build powerful queries that enhance observability, detect issues proactively, and optimize system performance.

This course provides a comprehensive understanding of KQL, covering its syntax, operators, and integration within Azure Log Analytics and Azure Monitor. By the end, you’ll be able to write efficient queries, interpret complex data, and implement monitoring strategies that drive operational excellence and data-driven decision-making in Azure environments.

© 2025 Christopher Nett. All rights reserved.

This course and its contents are the intellectual property of Christopher Nett and may not be copied, distributed, or used without permission.

All trademarks are the property of their respective owners. This course is not affiliated with, sponsored by, or endorsed by Microsoft Corporation.

Who this course is for:
- Cloud Engineer
- Cloud Architect
- Cloud Administrator
- Azure Administrator
- SOC Analyst
- Security Engineer
- Security Consultant
- IT Manager
- Data Architect
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