Microsoft Azure Data Explorer - Advanced KQL

via

Pluralsight

Course Features

Duration

2.83 hours

Delivery Method

Online

Available on

Downloadable Courses

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Advanced

Effort

2 hours per week

Teaching Type

Self Paced

Video Content

2.83 hours

Course Description

This course, Microsoft Azure Data Explorer - Advanced KQL, will teach you functions in the Kusto Query Language. It is designed for advanced analytics and time series analysis. You'll also explore the possibilities of using inline python in order to extend the capabilities of KQL. You will first learn data analysis using various clustering algorithms. Then, you'll learn about time series analysis as well as geospatial analysis. You will also learn how to use KQL to call Python and R code. This course will teach you many advanced techniques to work with data with Kusto Query Language within Azure Data Explorer.

Course Overview

International Faculty

Case Based Learning

Post Course Interactions

Case Studies,Instructor-Moderated Discussions

Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Executing Geographic Analysis

Exploring User Analytics

Extensibility Using Inline Python / R

Performing Diagnostic and Root Cause Analysis

Time Series Analysis – Anomaly Detection and Forecasting

Time Series Analysis – Creation and Core Functions

Course Content

Expand all sections

Module 1: Introduction

Module 2: Exploring User Analytics

Module 3: Executing Geographic Analysis

Module 4: Performing Diagnostic and Root Cause Analysis

Course Instructors

Keith Townsend

Instructor

Keith Townsend is a technology consultant with more than 18 years of related experience designing, implementing, and managing data center technologies. His areas of expertise include virtualization, ...