Master Near-Real-Time Stock Analytics with Microsoft Fabric

Build real-time stock market analytics with Microsoft Fabric using Eventstream, Eventhouse, KQL, and Power BI.

What you'll learn
- Design and implement real-time data ingestion pipelines using Microsoft Fabric Eventstream and Eventhouse for stock market analytics.
- Build and optimize a KQL Database-based data model in Fabric, designed for efficient storage and low-latency real-time querying.
- Develop interactive Power BI dashboards to visualize stock trends, daily changes, and moving averages with near real-time updates.
- Apply real-world dimensional modeling techniques tailored for event-driven and real-time analytical solutions.
- Automate data refresh processes for real-time analytics solutions, applying best practices for scheduling, optimization, and monitoring in Fabric.
- Understand the end-to-end architecture of a real-time analytics system, from API-based data ingestion to final dashboard visualization and operational insights.

Requirements
- Basic familiarity with SQL (Structured Query Language) — prior query writing experience is helpful for learning KQL (Kusto Query Language).
- Comfortable with Power BI basics — understanding how to build simple reports and dashboards.
- General understanding of data concepts — such as tables, databases, and data modeling.
- Access to an active Microsoft Fabric trial or licensed account — to follow hands-on labs.
- A computer with internet access — no special hardware or software required; all tools used are cloud-based.
- Prior knowledge of Microsoft Fabric is not mandatory. Key concepts will be introduced and explained during the course to ensure hands-on learning.

Description
Unlock the power of real-time analytics with Microsoft Fabric! In this hands-on course, you will learn how to build an end-to-end stock market analytics platform — from data ingestion to interactive dashboards.

We start by connecting to a stock market API to pull daily market data and set up a real-time ingestion pipeline using Fabric Eventstream and Eventhouse. You will learn how to structure data using a KQL Database and write efficient KQL queries for real-time insights.

Throughout the course, you'll apply dimensional modeling techniques to transform raw data into a star schema optimized for reporting. You’ll also build dynamic Power BI dashboards to visualize stock trends, daily price changes, and moving averages — all powered by real-time data.

This course is project-based, meaning you’ll gain practical experience by building a real-world solution step-by-step. No prior experience with Microsoft Fabric is required; basic SQL and Power BI skills are enough to get started.

By the end of the course, you’ll have the skills to design, implement, and manage real-time analytics projects, a critical skill in today's data-driven world, and you'll walk away with a portfolio-ready project.

Join now and future-proof your analytics career with Microsoft Fabric and real-time insights!

#MicrosoftFabric #DP600 #DP700

Who this course is for:
- Data Analysts, BI Developers, and Data Engineers looking to expand their skills into real-time analytics using Microsoft Fabric.
- Power BI users who want to build real-time dashboards powered by streaming data.
- SQL developers interested in learning KQL (Kusto Query Language) for real-time querying and analytics.
- Professionals and students aiming to gain practical, project-based experience in building end-to-end real-time analytics solutions.
- Organizations and teams looking to upskill on Microsoft Fabric’s event-driven architecture for operational intelligence and reporting.
More Info