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Kusto Query Language (KQL) from Scratch

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Pluralsight
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Course Features

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Duration

272 minutes

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Delivery Method

Online

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Available on

Downloadable Courses

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

272 minutes

Course Description

Azure is increasingly becoming the infrastructure backbone of many companies. You must therefore be able to query Azure to gain insight into the Azure services used by your company. This course, Kusto Query Language from Scratch (KQL), will teach you the foundational knowledge necessary to query a range of Azure services. You will first learn the basics KQL, or Kusto Query Language. Then, you'll move on to more advanced KQL capabilities like machine learning and series analysis. You will also learn how to export your KQL queries as CSV files or PowerBI. This course will equip you with the knowledge and skills required to gain valuable insight into Azure services.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

You will learn foundational knowledge to query a variety of Azure services

First, you will learn the basics of KQL, the Kusto Query Language

Next, you will progress to advanced KQL abilities such as machine learning and time series analysis

Finally, you will explore how to export the results of your KQL queries to CSV files and PowerBI

When you're finished with this course, you will have the skills and knowledge of the Kusto Query Language needed to gain valuable insights into your Azure services

Course Instructors

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Robert Cain

Instructor

Robert C. Cain (http://arcanecode.com) is a Microsoft MVP, MCTS Certified in BI, and is the owner of Arcane Training and Consulting, LLC. He is a course author for Pluralsight, team member at Linchpi...
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Course FAQs

What is the Kusto Query Language?

What is machine learning?

What will I learn in this KQL course?

What prerequisites are required for this KQL course?

What are some of the benefits of big datasets?

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