Microsoft Azure Data Explorer - Advanced KQL
Offered By: Pluralsight
Course Description
Overview
In this course, you will learn advanced topics in the Kusto Query Language from within the Azure Data Explorer.
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.
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.
Syllabus
- Course Overview 1min
- Introduction 17mins
- Exploring User Analytics 43mins
- Executing Geographic Analysis 28mins
- Performing Diagnostic and Root Cause Analysis 18mins
- Time Series Analysis 1 – Creation and Core Functions 23mins
- Time Series Analysis 2 – Anomaly Detection and Forecasting 15mins
- Extensibility Using Inline Python / R 19mins
- Summary 3mins
Taught by
Robert Cain
Related Courses
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Pluralsight How to Start with Microsoft Azure Data Explorer
Pluralsight Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer
Pluralsight