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Aggregation in KQL | Learn Key Data Summarization Techniques in Fabric | Part-2 | Taik18

📊 Aggregation Techniques in KQL | Kusto Query Language Tutorial Discover the power of aggregation techniques in Kusto Query Language (KQL) to transform raw data into meaningful insights. Learn how to use key aggregation functions in Microsoft Fabric for effective data analysis and reporting. 💡 What You'll Learn: Understanding KQL aggregation fundamentals Key aggregation functions: `summarize`, `count`, `avg`, and more Practical examples and real-world use cases How to optimize queries for performance 📌 Chapters: 00:00 - Introduction 01:15 - What are Aggregation Techniques? 03:45 - The `summarize` Operator Explained 07:20 - Using `count` and `countif` for Data Metrics 10:00 - Advanced Aggregation: `avg`, `max`, `min` 12:30 - Combining Aggregations with Filters 15:00 - Best Practices for KQL Aggregations 🎥 Check out our full KQL playlist:    • KQL Course   🔔 Don’t forget to Subscribe for more videos 👉 Got questions? Drop them in the comments below! 👍 Found this video helpful? Like and share with your network to help others learn! #KQL #AggregationTechniques #KustoQueryLanguage #DataAnalytics #MicrosoftFabric #RealTimeData #AzureDataExplorer #DataAggregation