How should a beginner start learning Data Engineering in Microsoft Fabric?

Understand Core Concepts

• Learn what data engineering is: building pipelines, transforming data, and enabling analytics.
• Key terms: Lakehouse, Dataflows, Pipelines, and Notebooks (Fabric uses these heavily).

Start with Microsoft Fabric Basics

• Explore Lakehouse for storing structured and unstructured data.
• Learn Dataflows Gen2 for ingesting and transforming data without heavy coding.
• Understand Pipelines for orchestration and scheduling.

Learn SQL and Python

• SQL is essential for querying data in Fabric Lakehouse and Warehouse.
• Python is useful for advanced transformations in Fabric Notebooks (powered by Spark).

Hands-On Practice in Fabric

• Create a Lakehouse and load sample data.
• Build a simple pipeline: ingest data → transform with Dataflow → store in Lakehouse → visualize in Power BI.
• Try Notebooks for Spark-based processing.

Explore Integration with Power BI

• Learn how Fabric enables end-to-end analytics: from raw data to dashboards.
• Practice connecting Lakehouse/Warehouse to Power BI reports.

Resources

• https://learn.microsoft.com/en-us/fabric/ – official tutorials and guided learning paths.
• Community blogs and videos on Fabric Data Engineering.
• Book recommendation: Designing Data-Intensive Applications for foundational concepts.