Kusto Query Language (KQL) from Scratch
By Robert Cain
Course info



Course info



Description
Increasingly, Azure is becoming the infrastructure backbone for many corporations. It is imperative then, that you have the ability to query Azure into gain insights to the Azure services your company is using. In this course, Kusto Query Language (KQL) from Scratch, 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 FAQ
Kusto Query Language (KQL) is a read only request to process data and return results.
Machine learning is the study of computer algorithms that improve automatically through experience and time.
In this course, you will learn about scaler operators and aggregations, how to work with datasets, machine learning, time series analysis. By the end of this course, you will be comfortable writing KQL queries.
Prerequisites for this course are a familiarity with Azure and and understanding of basic query concepts.
Some of the benefits of big data are: better decision making, increased efficiency, cuts costs, key insights, and increased predicting capabilities.
Section Introduction Transcripts
Course Overview
Hi everyone. My name is Robert Cain, and welcome to my course, Kusto Query Language from Scratch. I'm the owner of Arcane Training and Consulting, and a Microsoft MVP. In this course we're going to learn the new Kusto Query Language. KQL is being used across multiple Microsoft platforms to make big datasets available for analysis. Some of the major topics that we will cover include scalar operators and aggregations, working with datasets, machine learning, and time series analysis. By the end of this course you'll be comfortable writing KQL queries to extract information from a variety of Microsoft platforms, platforms such as Azure Log Analytics or Application Insights, just to name two of the many available. Before beginning the course you should be familiar with Azure and basic query language concepts. I hope you'll join me on this journey to learn KQL with the Kusto Query Language from Scratch course at Pluralsight.