The Hidden KQL Tricks Data Analysts Need in 2025 | Storm Data Analysis Made Simple | Taik 18

Stop writing bad KQL and simplify your storm data analysis with this step-by-step tutorial. Learn how to effectively query and explore insights from large datasets using Kusto Query Language (KQL). In this video, we'll walk you through a real-world scenario of analyzing storm events across the United States.

You'll discover how to:
• Identify states with the most storm events
• Calculate total damage caused by storms in specific regions
• Determine when the most damaging storms occurred

We'll demonstrate practical KQL techniques, including using the 'where' clause for filtering and the 'project' operator for selecting specific columns. Whether you're a data professional or a beginner looking to enhance your skills, this tutorial will help you streamline your process and gain valuable insights from your data.

Improve your data analytics skills and learn how to leverage KQL for real-time intelligence. Subscribe to our channel for more Power BI, Power Automate, and Azure DevOps tutorials that will take your data analysis to the next level.

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CHAPTERS:
00:00 - Analyzing Storm Data
00:05 - Scenario 1 - Storm Data Analysis

Видео The Hidden KQL Tricks Data Analysts Need in 2025 | Storm Data Analysis Made Simple | Taik 18 канала taik18 - Mohammed Adnan