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Become a Microsoft Fabric Data Engineer

Name: Become a Microsoft Fabric Data Engineer
Author: Baturi

Build Enterprise Data Pipelines ,Lakehouses,Warehouses,ETL,Data Dataflows,AI Analytics,Power BI Reports,Mirroring

What you'll learn

⚡ Understand the core architecture and components of Microsoft Fabric.
⚡ Understand the differences between Lakehouses, Warehouses, OneLake, Pipelines, and Dataflows.
⚡ Design and implement Medallion Architecture using Bronze, Silver, and Gold layers.
⚡ Build Microsoft Fabric Data Factory Pipelines for enterprise data ingestion.
⚡ Configure secure on-premises gateway connections between SQL Server and Microsoft Fabric.
⚡ Ingest and store raw data in Microsoft Fabric Lakehouses using Delta Parquet format.
⚡ Transform and standardize data using Dataflows Gen 2.
⚡ Merge multiple source systems into unified analytical datasets.
⚡ Create enterprise-grade Fabric Warehouses for reporting and analytics.
⚡ Develop analytical T-SQL views, stored procedures, and dimensional models.
⚡ Build semantic models and Power BI reports using DirectQuery.
⚡ Create AI-powered Power BI dashboards using Key Influencers and Decomposition Tree visuals.
⚡ Automate enterprise data pipelines and scheduled refresh processes.
⚡ Implement end-to-end validation and data quality verification across all platform layers.
⚡ Configure Microsoft Fabric Mirroring for near real-time SQL Server replication.
⚡ Enable and manage Change Data Capture (CDC) in SQL Server 2022.
⚡ Create and manage OneLake Shortcuts for zero-copy data integration.
⚡ Understand the differences between zero-ETL architectures and traditional ETL pipeline approaches.
⚡ Build complete end-to-end analytics platforms using real enterprise engineering patterns.
⚡ Gain practical hands-on experience with technologies used in modern data engineering roles.
⚡ Develop portfolio-ready Microsoft Fabric projects that demonstrate real-world implementation skills.
⚡ Build job-ready skills in Microsoft Fabric, SQL Server, Power BI, enterprise automation, and modern analytics engineering.

Requirements

❗ Basic computer skills such as creating folders, installing software, and navigating Windows are helpful.
❗ A basic understanding of databases or SQL is useful but not mandatory. SQL concepts are explained throughout the course.
❗ A Windows computer or laptop with internet access is recommended.
❗ A Microsoft Fabric trial or Microsoft account will be required for hands-on labs.
❗ An eagerness to learn modern enterprise data engineering is the most important requirement.
❗ This course is suitable for beginners, aspiring data engineers, data analysts, BI developers, database professionals, and IT professionals looking to modernize their analytics skills.

Description

Master Microsoft Fabric by building real-world, production-ready data engineering solutions from the ground up.
This hands-on course takes you step-by-step through the complete Microsoft Fabric ecosystem — from foundational concepts to advanced enterprise analytics architectures used by modern data engineering teams.
You will learn how to work with Microsoft Fabric Workspaces, Lakehouses, Warehouses, Data Pipelines, Dataflows Gen2, OneLake, Mirroring, Power BI, and enterprise automation using practical, real-world projects.
Unlike theory-heavy courses, this course focuses on implementation. You will build complete analytics platforms that simulate real enterprise environments and modern cloud data engineering workflows.
Starting with Microsoft Fabric fundamentals, you will learn key concepts including OneLake, Medallion Architecture, ETL processes, Data Pipelines, Dataflows, and Fabric compute components. You will then set up SQL Server 2022, restore enterprise sample databases, and configure secure gateway connectivity between on-premises systems and Microsoft Fabric.
As the course progresses, you will build end-to-end analytics solutions using Bronze, Silver, and Gold data layers. You will create ingestion pipelines, transform and standardize datasets using Dataflows Gen2, build analytical Fabric Warehouses, create T-SQL views and stored procedures, and develop Power BI reports using DirectQuery and AI-powered visuals.
The course also explores advanced Microsoft Fabric capabilities including Change Data Capture (CDC), Mirroring, OneLake Shortcuts, zero-ETL architectures, near real-time analytics, automation, orchestration, scheduling, and end-to-end validation techniques.
By the end of this course, you will have built complete production-style Microsoft Fabric analytics platforms using real enterprise engineering patterns and best practices.
This course is ideal for aspiring Data Engineers, SQL Developers, Data Analysts, BI Developers, Power BI professionals, and IT professionals who want to build practical, job-ready Microsoft Fabric skills.
Whether you are new to Microsoft Fabric or looking to modernize your analytics and data engineering expertise, this course provides the hands-on experience needed to confidently build enterprise-grade analytics solutions using Microsoft Fabric.

Who this course is for

⭐ Aspiring Data Engineers who want to build real-world, production-style analytics platforms using modern Microsoft technologies.
⭐ SQL Developers and Database Professionals looking to expand into cloud analytics and Microsoft Fabric data engineering.
⭐ Data Analysts and Power BI Developers who want to move beyond reporting and learn end-to-end data platform engineering.
⭐ Business Intelligence professionals who want hands-on experience with Lakehouses, Warehouses, Dataflows, Pipelines, and OneLake.
⭐ IT professionals and system administrators interested in modern analytics architecture and enterprise data platforms.
⭐ Azure and Microsoft ecosystem professionals looking to modernize their skills with Microsoft Fabric.
⭐ Developers who want to learn how enterprise data pipelines and Medallion Architectures are implemented in real organisations.

Homepage

https://www.udemy.com/course/become-a-microsoft-fabric-data-engineer

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