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Learn how to build a complete real-time stock analytics platform using Microsoft Fabric — including Eventstream, Eventhouse, Power BI, KQL, and performance tuning techniques.
✅ This is a full end-to-end project-based walkthrough—perfect for data professionals, analysts, or anyone exploring Microsoft Fabric in depth.
Tools Covered:
Microsoft Fabric (Eventstream, Eventhouse, Lakehouse, Pipelines)
Power BI for real-time dashboards
KQL for querying streaming data
DAX and performance optimization techniques
Chapters:
00:00:00 Introduction & Learner Expectations
00:03:16 Course Structure and Architecture Overview
00:10:55 Stock Market Basics and Data Source API
00:22:41 Eventstream Setup and Ingestion Overview
00:29:06 Setting Up Fabric Environment
00:46:13 Protocols in Eventstream
00:54:02 Ingestion Pipelines with Eventstream
01:23:51 Incremental Ingestion
01:32:09 KQL Intro
01:46:19 Dimensional Modeling
02:21:58 Incremental Load of Stock Fact
02:30:46 Data Transformation in Eventhouse Using KQL
02:46:28 Querying Data Using KQL
02:56:43 Power BI and Fabric Integration
03:14:34 Advanced Visualization
03:25:16 Precomputed vs DAX Metrics
03:32:14 Report Building & Dashboard
03:56:17 Job Scheduling for Pipelines
04:04:12 Real-Time Alerts and Dashboards
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Microsoft Fabric tutorial, Eventstream Fabric, stock analytics project, Power BI real-time dashboard, KQL examples, Fabric pipelines, stock data ingestion, Alpha Vantage API, Microsoft Fabric use case, real-time data in Power BI