Udemy – Azure Kusto Query Language KQL for Log analytics and Fabric 2024-10

Kusto Query Language (KQL) is a powerful tool for exploring data and discovering patterns, identifying anomalies and outliers, creating statistical modeling, and more. KQL is a simple yet powerful language for querying structured, semi-structured and unstructured data. It’s an expressive, easy-to-read and easy-to-understand query language optimized for the authoring experience. Kusto Query Language for querying telemetry, metrics and logarithms with deep support for text search and parsing, time series operators and functions, analysis and aggregation, geospatial, vector similarity searches and many other language constructs that provide the best language for data analysis. is optimal. This query uses schema entities organized in a hierarchy similar to SQL: databases, tables, and columns.

What you will learn in this course:

• Azure Kusto Query Language (KQL)
• Azure Log Analytics
• Azure Workbook
• Microsoft Azure Fabric KQL

This course is suitable for people who:

• Any engineer or data analyst who works on Azure services to build Kusto Query language (KQL) queries.
• Want to create an Azure Workbook integrated dashboard with Azure Service Logarithms using Kusto Query Language (KQL).

Installation guide

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