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Robert Cain

This course covers the fundamentals of the Kusto Query Language (KQL). You'll learn what KQL is, where it is used, and some of the terms and definitions associated with it.

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This course covers the fundamentals of the Kusto Query Language (KQL). You'll learn what KQL is, where it is used, and some of the terms and definitions associated with it.

The Kusto Query Language (KQL) is becoming increasingly important in the world of Azure.

In this course, Kusto Query Language: Getting Started, you'll learn foundational knowledge of the Kusto Query Language.

First, you'll learn what KQL is and where it is used, exploring the Log Analytics environment.

Next, you'll discover the basic structure, comparing it to other query languages.

Finally, you'll explore the definitions of terms used with KQL.

When you're finished with this course, you'll have the necessary skills and knowledge of the Kusto Query Language and the environments it is used in to begin authoring your own Kusto Queries.

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What's inside

Syllabus

Course Overview
Introduction to the Kusto Query Language (KQL)
Terms and Definitions Used with KQL
The Log Analytics Demo Environment
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Conclusion

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores the fundamentals of the Kusto Query Language used in Azure
Ideal for beginners in data analysis or Azure platform
Provides a solid foundation for further learning and practical applications of KQL

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Kusto Query Language: Getting Started with these activities:
Review SQL basics
Refresh basic SQL knowledge, including data types, operators, and query syntax.
Browse courses on SQL
Show steps
  • Review online tutorials on SQL basics
  • Practice writing simple SQL queries
Review course materials from previous Kusto Query Language courses
Refresh knowledge of Kusto Query Language concepts and best practices before starting the course.
Browse courses on Kusto Query Language
Show steps
  • Gather notes, assignments, and quizzes from previous KQL courses
  • Review the materials, focusing on key concepts and syntax
Read "Microsoft Azure Essentials: Fundamentals of Azure"
Establish a foundational understanding of Microsoft Azure, cloud computing concepts, and terminology.
Show steps
  • Read Chapter 1: Introduction to Azure
  • Read Chapter 2: Core Azure Services
  • Read Chapter 3: Azure Management Tools
Seven other activities
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Show all ten activities
Complete Azure CLI practice labs
Build proficiency in using the Azure CLI and navigate the Azure environment.
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  • Set up the Azure CLI
  • Create an Azure storage account
  • Create a virtual machine
  • Manage Azure resources
Write a series of KQL queries
Improve your understanding of KQL syntax and semantics by writing a series of practice queries.
Browse courses on Kusto Query Language
Show steps
  • Choose a dataset to query
  • Write a simple query
  • Write a more complex query
  • Test your queries
Follow Microsoft Learn modules on Kusto Query Language
Gain a deeper understanding of Kusto Query Language concepts and syntax.
Browse courses on Kusto Query Language
Show steps
  • Complete the "Getting Started with Kusto Query Language" module
  • Complete the "Advanced Kusto Query Language" module
Attend Azure community meetups or online events
Connect with other Azure professionals, learn from their experiences, and stay updated on industry trends.
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Show steps
  • Search for Azure community events in your area
  • Register and attend the events
  • Network with other Azure users
Build a small application using KQL
Develop your ability to understand and use the Kusto Query Language by creating a simple application.
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  • Design the application
  • Write the code for the application
  • Test the application
  • Deploy the application
Create Kusto queries to analyze sample data
Apply KQL skills to analyze real-world data and extract valuable insights.
Browse courses on Kusto Query Language
Show steps
  • Download sample data from the Microsoft Learn website
  • Create a Kusto query to filter and aggregate the data
  • Visualize the results of the query
Create a collection of Kusto Query Language resources
Gather and organize valuable resources on Kusto Query Language for future reference.
Browse courses on Kusto Query Language
Show steps
  • Search for and bookmark relevant KQL articles and tutorials
  • Create a document or spreadsheet to store the resources
  • Categorize and tag the resources for easy access

Career center

Learners who complete Kusto Query Language: Getting Started will develop knowledge and skills that may be useful to these careers:
Log Analyst
A Log Analyst processes and analyzes log data to detect patterns and identify security issues. Kusto Query Language: Getting Started provides a comprehensive overview of the Log Analytics environment and its features. The course can help a Log Analyst quickly understand how to use the tool and gain proficiency in querying log data.
Data Analyst
A Data Analyst analyzes data to create reports, visualizations, and insights for businesses. Kusto Query Language: Getting Started introduces basic querying techniques that a Data Analyst needs to understand. The course can help someone with a background in IT, business intelligence, or statistics transition into a Data Analyst role or enhance their analytical abilities for the role.
Data Scientist
A Data Scientist uses scientific methods to analyze data and extract insights for businesses. Kusto Query Language: Getting Started teaches the foundational knowledge of the Kusto Query Language that a Data Scientist needs to understand. The course can enhance a Data Scientist's ability to retrieve and analyze data for machine learning and other models.
Data Engineer
A Data Engineer designs and builds data pipelines and systems for organizations. Kusto Query Language: Getting Started provides a foundation in KQL, which is a powerful tool for data engineers working with Azure data platforms.
Security Analyst
A Security Analyst monitors and analyzes security data to detect and respond to security threats. Kusto Query Language: Getting Started offers insights into the use of KQL for security event analysis and threat detection. The course can help a Security Analyst gain proficiency in querying and analyzing security-related data.
Business Intelligence Analyst
A Business Intelligence Analyst uses data to identify trends and patterns to help businesses make better decisions. Kusto Query Language: Getting Started teaches the fundamentals of KQL, which can be helpful for a Business Intelligence Analyst who needs to query and analyze data for reporting and decision-making.
Cloud Architect
A Cloud Architect designs, builds, and manages cloud computing systems. Kusto Query Language: Getting Started offers insights into the role of KQL in cloud-based data management. The course can help a Cloud Architect gain a foundational knowledge of the language and its applications in the cloud.
Database Administrator
A Database Administrator manages and maintains databases to ensure data integrity and performance. Kusto Query Language: Getting Started provides an understanding of the concepts and syntax used in KQL, which can be beneficial for a Database Administrator working with Azure data platforms.
Systems Engineer
A Systems Engineer designs, installs, and maintains computer systems for organizations. Kusto Query Language: Getting Started may be useful for a Systems Engineer who needs to query and manage data in Azure cloud environments or who works with Azure data services.
Software Developer
A Software Developer designs, develops, and maintains software applications. Kusto Query Language: Getting Started may be useful for a Software Developer who needs to work with data in Azure cloud environments or who wants to enhance their understanding of data query languages.
Database Manager
A Database Manager oversees the administration and management of databases for organizations. Kusto Query Language: Getting Started may be useful for a Database Manager who wants to gain a basic understanding of KQL and its applications in data management.
Data Architect
A Data Architect designs and manages data systems for organizations. Kusto Query Language: Getting Started may be useful for a Data Architect who needs to understand the role of KQL in data management and analysis.
IT Manager
An IT Manager plans, organizes, and directs the IT operations of an organization. Kusto Query Language: Getting Started may be useful for an IT Manager who wants to gain a general understanding of KQL and its potential applications in the organization's IT environment.
Data Science Manager
A Data Science Manager leads and manages a team of data scientists. Kusto Query Language: Getting Started may be useful for a Data Science Manager who wants to gain a basic understanding of KQL and its role in data science projects.
Chief Data Officer
A Chief Data Officer oversees the data strategy and management for an organization. Kusto Query Language: Getting Started may be useful for a Chief Data Officer who wants to gain a general understanding of KQL and its potential applications in the organization's data management strategy.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Kusto Query Language: Getting Started.
Covers the basics of the Kusto Query Language (KQL), including the syntax, operators, and functions. It also provides examples of how to use KQL to query data in Azure Log Analytics and Azure Data Explorer.
Provides a comprehensive overview of the Kusto Query Language (KQL). It covers the basics of the language, as well as more advanced topics such as data manipulation, aggregation, and visualization.
Can provide a good background for understanding distributed data processing, which key concept in KQL.
Provides a beginner-friendly introduction to SQL. It can serve as a useful foundation for those who are new to KQL or who want to brush up on their SQL skills before learning KQL.
Provides a comprehensive overview of Azure Log Analytics, including the architecture, data collection, query language, and administration. It also covers advanced topics such as security and compliance.

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