In this course, Microsoft Azure Data Explorer - Advanced KQL, you will learn functions in the Kusto Query Language (KQL) targeted at advanced analytics and time series analysis, and explore the use of inline python to expand the capabilities of KQL. First, you will discover data analysis using a variety of clustering algorithms. Next, you will learn time series analysis and geospatial analysis. Finally, you will explore how to call Python or R code from KQL. When you are finished with this course, you will know many of the advanced techniques for working with data using Kusto Query Language from within the Azure Data Explorer.
Robert C. Cain (arcanecode.com) is a Microsoft MVP, MCTS Certified in BI, and is the owner of Arcane Training and Consulting, LLC. He is also a course author for Pluralsight, team member at Linchpin People, and co-author of 4 books.
Course Overview Hi, everyone. My name is Robert Cain and welcome to my course, Azure Data Explorer ‑ Advanced KQL. I am the owner of Arcane Training and Consulting. In this course, we're going to learn advanced topics in the Kusto Query Language. Some of the major topics that we'll cover include: data analysis using a variety of clustering algorithms, time series analysis, geospatial analysis, and calling Python or R code from within KQL. By the end of this course, you'll know many of the advanced techniques for working with data using KQL, the Kusto Query Language, from within the Azure Data Explorer. Before beginning the course, you should be familiar with the basics of the Kusto Query Language. From here, you should feel comfortable diving into the Azure Data Explorer with the course, How to Start with Microsoft Azure Data Explorer. I hope you'll join me on this journey to learn advanced KQL with the Azure Data Explorer ‑ Advanced KQL course at Pluralsight.