• views: 138
• date: 2 September 2025
• posted by: voska89

Learn Microsoft Fabric for real-time data engineering: pipelines, dataflows, streaming, and KQL queries.
What you'll learn
Understand Microsoft Fabric architecture, components, and core services.
Build end-to-end data pipelines for cloud and on-premise data ingestion.
Perform incremental and batch data loads using SQL DB, ADLS, SFTP, REST APIs, and Excel.
Design reusable ingestion frameworks with concurrency, dependencies, and scheduling.
Use Dataflow Gen2 for profiling, cleaning, and transforming large datasets.
Implement real-time streaming pipelines with Eventstreams, Event Hubs, and KQL.
Apply best practices in Fabric for data engineering, storage, and governance.
Requirements
No prior experience with Microsoft Fabric is required — this course starts from the basics.
Familiarity with SQL queries will be helpful for hands-on exercises.
Basic understanding of data concepts (databases, files, pipelines) is recommended.
An active Microsoft Fabric trial account (or organizational account) for practice.
A computer with internet connection to follow along with labs and exercises.
Description
Unlock the full potential of Microsoft Fabric with this hands-on masterclass designed for data engineers, analysts, and architects. This course takes you step by step through real-world scenarios, helping you build pipelines, ingest and transform data, work with Dataflows Gen2, stream real-time data, and query with KQL.You'll start with the fundamentals of Microsoft Fabric architecture and progress into advanced data engineering techniques such as incremental loading, mirroring databases, building reusable ingestion frameworks, and setting up multi-trigger dependencies.Through 34 practical, project-based lessons, you'll learn how to:Connect to diverse data sources (SQL, Snowflake, REST APIs, SFTP, Blob Storage, Excel).Design and optimize pipelines for efficiency, parallelism, and incremental loads.Work with Lakehouse and Warehouse for structured and unstructured data.Perform data quality checks, profiling, and cleansing using Dataflows Gen2.Stream real-time data from Event Hubs to Fabric Eventhouse and KQL databases.Implement best practices for scheduling, orchestration, and monitoring pipelines.By the end of this course, you'll have built a portfolio of end-to-end Microsoft Fabric projects that prepare you for solving real-world data challenges at scale.Whether you're a beginner exploring Microsoft Fabric or a professional looking to upskill in modern data engineering, this course will give you the confidence and expertise to design and deliver data solutions using Microsoft Fabric.
Who this course is for
Data Engineers who want to design and build modern data pipelines in Microsoft Fabric.
Data Analysts & BI Developers looking to leverage Fabric's Lakehouse, Warehouse, and Power BI integration.
Cloud Professionals transitioning from Azure Synapse, Databricks, or traditional ETL tools to Fabric.
Students & Beginners interested in learning real-time data engineering without prior Fabric experience.
Enterprise Teams who want to adopt Microsoft Fabric for end-to-end data management and analytics.
Homepage

https://www.udemy.com/course/fabricmasterprogram001/

   
   
   

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