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Kusto Query Language (KQL)

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May 13, 2024 3 minute read

Image representing Kusto Query Language (KQL)

Kusto Query Language (KQL) is a powerful tool for querying and analyzing data in Azure Data Explorer. It is a declarative language, which means that you can express your queries in a natural and easy-to-understand way. KQL is also a very expressive language, which means that you can use it to perform a wide variety of tasks, from simple data retrieval to complex data analysis.

Why Learn Kusto Query Language?

There are many reasons why you might want to learn KQL. If you are a data analyst or data engineer, KQL can help you to quickly and easily query and analyze data in Azure Data Explorer. KQL can also be used to create reports, dashboards, and visualizations. If you are a developer, KQL can help you to integrate data from Azure Data Explorer into your applications. KQL can also be used to automate tasks, such as data cleansing and data transformation.

How to Learn Kusto Query Language

There are many ways to learn KQL. You can find online courses, tutorials, and documentation. You can also find KQL communities where you can ask questions and get help from other KQL users. One of the best ways to learn KQL is to practice using it. You can use the Kusto Query Explorer to practice writing KQL queries. You can also find sample KQL queries online.

Online Courses

There are many online courses that can help you learn KQL. These courses can teach you the basics of KQL, as well as more advanced topics, such as data analysis and visualization. Some of the most popular online courses for learning KQL include:

Kusto Query Language: Getting Started
Kusto Query Language: Advanced Topics
Kusto Query Language for Data Analysts
Kusto Query Language for Developers
Kusto Query Language for Data Scientists

These courses can help you learn the basics of KQL, as well as more advanced topics, such as data analysis and visualization. They can also help you to prepare for the Kusto Query Language certification exam.

Benefits of Learning Kusto Query Language

There are many benefits to learning KQL. These benefits include:

Path to Kusto Query Language (KQL)

Take the first step.

We've curated eight courses to help you on your path to Kusto Query Language (KQL). Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Kusto Query Language: Getting Started

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SC-200 Microsoft Security Operations Analyst Course & SIMs

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Microsoft Defender for Endpoint course with hands on sims

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Microsoft Defender Course with hands on training and sims

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SC-200: Microsoft Security Operations Analyst

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SC-100 Microsoft Cybersecurity Architect course with sims

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Microsoft Defender for Endpoint

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Microsoft Security Solutions Capabilities

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Reading list

We've selected five 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 (KQL).

Windows PowerShell 2.0 Best Practices

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Provides best practices for using KQL to ensure efficient and effective data analysis. It covers topics such as query optimization, performance tuning, and security.

Windows PowerShell 2.0 Best Practices (IT Best...

Kindle Edition

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The Definitive Guide to KQL

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Practical guide to using KQL for system administration. It provides numerous examples and exercises that demonstrate how to use KQL to monitor system performance, troubleshoot issues, and manage resources.

The Definitive Guide to KQL

Paperback

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The Definitive Guide to KQL

Kindle Edition

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Building Data Science Teams

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Practical guide to using KQL for data science. It provides numerous examples and exercises that demonstrate how to use KQL to analyze data, build models, and make predictions.

Building Data Science Teams

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Building Data Science Teams

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Doing Data Science

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Practical guide to using KQL for business analysis. It provides numerous examples and exercises that demonstrate how to use KQL to analyze business data, identify trends, and make informed decisions.