Hands On: Kusto Query Language(KQL)

**Unlock the Power of Data with Hands On: Kusto Query Language (KQL)! 🚀

Course Headline: 🎓 Learn KQL to excel in your Sentinel, Log Analytics, ADX Defender for Cloud journey.

About This Course:

Embark on a comprehensive hands-on journey with our Hands On: Kusto Query Language course, designed to equip you with the skills to master KQL—a core component of Microsoft Sentinel, Microsoft Defender for Cloud, Azure Data Explorer, and Log Analytics.

Why Learn KQL? 🔍

• Versatility: KQL is a powerful language used across various Microsoft services to query and analyze logs at scale.
• Efficiency: With KQL, you can efficiently pull data from your Log Analytics Workspace with commands like getSchema, let, and print.
• Complexity: Dive into complex queries involving join, union, data tables, mv-expand, and aggregate functions to extract meaningful insights.
• Flexibility: Learn how to use KQL in a case-sensitive or case-insensitive context, tailoring your queries for optimal results.

What You'll Cover in This Course: 📚

1. Kusto Query Language (KQL) Overview: Get an introduction to the KQL language and its applications.

2. KQL LA demo Continued: Dive deeper into understanding schema, workflow of a query, and the pipe operator.

3. KQL Operators: Explore key operators such as search, where, and aggregate functions like summarize.

4. KQL for Data Manipulation: Learn to use operators like distinct, sort, ago, and string manipulation functions like iif, strcat, and case.

5. Advanced KQL Operators: Unlock the power of advanced operators like arg_max, arg_min, Count, and mv-expand.

6. KQL Data Aggregation and Joining: Understand how to join, range, union data, create custom logs, and more.

7. Real-World Applications: Engage in practical exercises with Kusto Rookie challenges and updates on new features.

Key Takeaways from the Course:

• Foundational Knowledge: Establish a strong foundation in KQL syntax and commands.
• Hands-On Experience: Apply what you learn through real-world exercises and scenarios.
• Practical Insights: Understand how to leverage KQL for data exploration, anomaly detection, and pattern recognition.
• Advanced Skills: Master complex queries and learn to create statistical models within your data.
• Confidence with KQL: Gain the confidence to use KQL in Microsoft Sentinel, Log Analytics, ADX Defender for Cloud, and Azure Data Explorer.

Who Should Take This Course? 👩‍💻✨

This course is ideal for:

• Data Analysts: Who want to enhance their data analysis capabilities with KQL.
• Security Analysts: Seeking to improve their threat detection and incident response using Microsoft Sentinel.
• Cloud Infrastructure Managers: Looking to monitor and manage their cloud resources using Log Analytics.
• Developers and Engineers: Who need to query data stored in Azure Data Explorer for application insights or operational monitoring.

Ready to master KQL and transform your data into actionable insights? 🌟 Enroll in our Hands On: Kusto Query Language course today and elevate your analytics, monitoring, and security capabilities with Microsoft's cloud solutions! 🚀