Mímir, Keeper of the Well of Wisdom
Kusto Query Language (KQL)
https://www.udemy.com/course/kusto-query-language-kql/
Year : 2026
Language : English
Level : All Levels
Category : IT & Software
Subcategory : Other IT & Software
Duration : 5h 37m
Lectures : 61
Rating : 4.7/5 (66 reviews)
Students : 438
INSTRUCTOR(S)
HEADLINE
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!
WHO IS THIS COURSE FOR
* Cloud Engineer
* Cloud Architect
* Cloud Administrator
* Azure Administrator
* SOC Analyst
* Security Engineer
* Security Consultant
* IT Manager
* Data Architect
DESCRIPTION
This course contains the use of artificial intelligence. Kusto
Query Language (KQL) by Christopher Nett is 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. This course contains
promotional materials.
COURSE CONTENT
Chapter 1: Introduction
1. Slides
2. Basics
3. FAQs
Chapter 2: Basics - Azure
4. Azure Global Backbone
5. Azure Regions and Datacenters
6. Azure Resource Hierarchy
7. Azure Subscription Types
8. Entra ID Tenants and Azure Subscriptions
9. Get your Azure Subscription
10. Setup your Azure Environment
11. Cost Management
Chapter 3: The Kusto Query Language (KQL)
12. KQL
13. KQL query development process
14. Important Operators
Chapter 4: Azure Log Analytics
15. Azure Log Analytics
16. Data Retention
17. Schema
Chapter 5: Lab Setup
18. Lab Overview
19. Get Azure Subscription
20. Configure your Azure Environment
21. Trigger Azure Activity Logs
22. Code Files + Install VS Code with KQL syntax extension
Chapter 6: KQL Operators - Find relevant data by filtering or
searching
23. KQL Operators - Find relevant data by filtering or
searching
24. where
25. where contains/has
26. search
27. take
28. case
29. distinct
Chapter 7: KQL Operators - Operations that use date and time
functions
30. KQL Operators - Operations that use date and time
functions
31. ago
32. format_datetime
33. bin
Chapter 8: KQL Operators - Add or remove columns in a table
34. KQL Operators - Add or remove columns in a table
35. print
36. project
37. project-away
38. project-keep
39. project-rename
40. project-reorder
41. extend
Chapter 9: KQL Operators - Restructure data by sorting or
grouping
42. KQL Operators - Restructure data by sorting or grouping
43. sort
44. count
45. summarize
46. top
47. union
48. inner join
49. left outer join
50. right outer join
51. full outer join
52. anti-join
53. range
Chapter 10: KQL Operators - restructure data to output in a
useful way
54. KQL Operators - restructure data to output in a useful
way
55. let
56. parse
57. render
Chapter 11: Other KQL concepts
58. Best Practices for KQL
Chapter 12: KQL in Azure Monitor
59. Azure Monitor
60. Leverage KQL in Azure Monitor alert rules
Chapter 13: Bonus
61. Bonus
DATES
Published : 2025-10-30
Last Updated : 2026-01-14
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