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Mastering Real-Time Analytics in Microsoft Fabric Eventhouse
TRANSFORM YOUR STREAMING DATA INTO ACTIONABLE INSIGHTS 🚀
Are you ready to turn raw streaming events into powerful business intelligence? Join Microsoft Data Platform MVP Rajendra Ongole as he explores the cutting edge of real-time analytics within the Microsoft Fabric ecosystem. This session provides a comprehensive look at how to manage high-velocity data using Eventhouse and real-time intelligence tools.
In this video, we break down the architectural foundations of Microsoft Fabric, moving from data ingestion via Eventstream to high-performance storage in KQL databases. You will see practical demonstrations on how to handle live data from sources like IoT hubs and sample data sets, apply complex transformations, and visualize results instantly. We also dive into the power of Kusto Query Language (KQL) and show you how to set up automated alerts using Data Activator to ensure you never miss a critical data trend.
KEY TOPICS COVERED:
📍 Understanding the real-time intelligence architecture in Microsoft Fabric.
📍 Navigating the Real-time Hub for centralized data management.
📍 Step-by-step guide to data ingestion and transformation techniques.
📍 Mastering KQL for high-performance querying of massive datasets.
📍 Building interactive real-time dashboards and Power BI reports.
📍 Setting up Data Activator to trigger automated notifications.
CHAPTERS
0:00 Introduction and Speaker Bio
3:15 Defining Real-time Analytics and Its Importance
7:00 Real-world Use Cases for Live Data
10:45 Deep Dive into Fabric Architecture
14:30 Navigating the Real-time Hub
18:15 Data Ingestion and Source Systems
22:30 Eventhouse vs KQL Database Explained
26:45 Transformation and Windowing Functions
31:00 Demo: Building Your First Eventhouse
35:45 Demo: Connecting Sample Data Streams
40:15 Writing Queries with KQL Statements
44:30 Applying Grouping and Aggregations
49:00 Building Real-time Dashboards
53:30 Configuring Alerts with Data Activator
57:00 Final Thoughts and Wrap Up
If you found this deep dive helpful, please give this video a LIKE and SUBSCRIBE to stay updated on the latest Microsoft Fabric and Power BI tutorials. Have questions about KQL or Eventhouse? Drop them in the comments below!
#MicrosoftFabric #RealTimeAnalytics #DataEngineering #PowerBI #KQL
Видео Mastering Real-Time Analytics in Microsoft Fabric Eventhouse канала m365 Show Livestream
Are you ready to turn raw streaming events into powerful business intelligence? Join Microsoft Data Platform MVP Rajendra Ongole as he explores the cutting edge of real-time analytics within the Microsoft Fabric ecosystem. This session provides a comprehensive look at how to manage high-velocity data using Eventhouse and real-time intelligence tools.
In this video, we break down the architectural foundations of Microsoft Fabric, moving from data ingestion via Eventstream to high-performance storage in KQL databases. You will see practical demonstrations on how to handle live data from sources like IoT hubs and sample data sets, apply complex transformations, and visualize results instantly. We also dive into the power of Kusto Query Language (KQL) and show you how to set up automated alerts using Data Activator to ensure you never miss a critical data trend.
KEY TOPICS COVERED:
📍 Understanding the real-time intelligence architecture in Microsoft Fabric.
📍 Navigating the Real-time Hub for centralized data management.
📍 Step-by-step guide to data ingestion and transformation techniques.
📍 Mastering KQL for high-performance querying of massive datasets.
📍 Building interactive real-time dashboards and Power BI reports.
📍 Setting up Data Activator to trigger automated notifications.
CHAPTERS
0:00 Introduction and Speaker Bio
3:15 Defining Real-time Analytics and Its Importance
7:00 Real-world Use Cases for Live Data
10:45 Deep Dive into Fabric Architecture
14:30 Navigating the Real-time Hub
18:15 Data Ingestion and Source Systems
22:30 Eventhouse vs KQL Database Explained
26:45 Transformation and Windowing Functions
31:00 Demo: Building Your First Eventhouse
35:45 Demo: Connecting Sample Data Streams
40:15 Writing Queries with KQL Statements
44:30 Applying Grouping and Aggregations
49:00 Building Real-time Dashboards
53:30 Configuring Alerts with Data Activator
57:00 Final Thoughts and Wrap Up
If you found this deep dive helpful, please give this video a LIKE and SUBSCRIBE to stay updated on the latest Microsoft Fabric and Power BI tutorials. Have questions about KQL or Eventhouse? Drop them in the comments below!
#MicrosoftFabric #RealTimeAnalytics #DataEngineering #PowerBI #KQL
Видео Mastering Real-Time Analytics in Microsoft Fabric Eventhouse канала m365 Show Livestream
Microsoft Fabric Real-time Analytics Data Engineering Big Data Microsoft Fabric Eventhouse KQL Database Event Streams Data Activator Kusto Query Language Real-time Intelligence Azure IoT Hub Microsoft Fabric Tutorial Real-time Data Streaming Data Ingestion Power BI Dashboards Data Visualization IoT Data Processing Cloud Analytics Real-time Hub Temporal Windows
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23 марта 2026 г. 4:03:52
00:58:21
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