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Microsoft Azure Data Explorer - Advanced KQL

via Pluralsight

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.

Topics:
  • Course Overview
  • Introduction
  • Exploring User Analytics
  • Executing Geographic Analysis
  • Performing Diagnostic and Root Cause Analysis
  • Time Series Analysis 1 – Creation and Core Functions
  • Time Series Analysis 2 – Anomaly Detection and Forecasting
  • Extensibility Using Inline Python / R
  • Summary
  • Summary

Taught by

Robert Cain

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