Kusto Query Language

Course description:

This Kusto Query Language (KQL) course teaches you how to leverage KQL to extract, analyze, and visualize data from various Azure services, including Azure Data Explorer and Microsoft Sentinel. You’ll learn the fundamental KQL syntax, explore advanced techniques like aggregations and time-series analysis, and discover how to apply KQL in real-world scenarios, ultimately enabling you to transform raw data into actionable insights.

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Kusto Query Language (KQL) Training

Master Data Exploration & Analytics with KQL – The Language Behind Azure Data Insights

Kusto Query Language (KQL) is a powerful, read-only query language used to process large volumes of data in Azure Data Explorer, Microsoft Sentinel, Log Analytics, and other Azure services. Whether you’re analyzing telemetry, monitoring cloud infrastructure, or writing security queries, KQL is an essential skill for any data or cloud professional.

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🔍 What is KQL?

KQL is designed for fast, scalable, and intuitive querying of structured, semi-structured, and unstructured data. It’s widely used by:

• Security analysts working with Microsoft Sentinel

• DevOps and SRE teams monitoring application health in Log Analytics

• Data engineers building real-time dashboards in Azure Monitor

• Cloud architects managing performance and security insights

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📚 Course Modules

📘 Module 1: Introduction to KQL

• What is KQL and where is it used?

• Overview of Azure Data Explorer and Log Analytics

• Setting up your Kusto environment

📊 Module 2: Basic Queries

• Basic syntax and operators

• Project, where, summarize, and order by

• Filtering and sorting data

• Practical exercises with Log Analytics data

🔄 Module 3: Advanced Filtering & Joins

• Join types and scenarios

• Union, lookup, and extend

• Handling null values and data transformation

📈 Module 4: Aggregations and Summarization

• Using summarize with aggregators

• Time binning and time series analysis

• Trend detection and pattern matching

🧠 Module 5: Data Manipulation and Functions

• Using let statements

• User-defined functions and macros

• Parsing data with parse, extract, split

🛡️ Module 6: KQL for Microsoft Sentinel

• Writing queries for security use cases

• Threat detection rules

• Alert tuning and hunting queries

📅 Module 7: Visualization and Dashboards

• Building workbooks in Azure Monitor

• Using KQL in dashboards and custom visualizations

• Exporting and sharing insights

⚙️ Module 8: Performance Tuning & Best Practices

• Query optimization techniques

• Understanding query limits and execution plans

• Avoiding costly operations

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🎯 Who Should Learn KQL?

• Security professionals using Microsoft Sentinel

• Cloud engineers and administrators working with Azure

• Data analysts and architects who need real-time insights

• DevOps professionals looking to monitor applications and systems effectively

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🧠 What You’ll Gain

• Deep understanding of KQL syntax and logic

• Hands-on experience with real Azure logs and telemetry

• Ability to write efficient, production-grade queries

• Readiness for roles in security, monitoring, and analytics in Azure

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🏆 Certification & Support

Earn a Certificate of Completion and access optional:

• Practice tests

• Lab exercises

• One-on-one mentoring (if part of your program)

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🚀 Start Exploring Your Data Today

Whether you’re securing systems, analyzing logs, or building dashboards—KQL gives you the power to make data-driven decisions in real time.

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