Complete Microsoft Fabric Course

Description

✅ What You Will Learn

📌 Module 1 – Getting Started with Microsoft Fabric

• Introduction to Microsoft Fabric

• Creating Workspaces, Understanding Roles & Terminology

• Installing OneLake Explorer & Data Studio

📌 Module 2 – Storage & Data Modeling

• Creating Lakehouses vs Warehouses

• Creating Shortcuts between Lakehouse, Warehouse & Data Lake

📌 Module 3 – Data Factory Experience

• Pipelines & Dataflows Overview

• End-to-End Scenarios & Mini Projects with Data Factory

📌 Module 4 – Data Integration from Multiple Sources

• Azure SQL DB → Lakehouse / Warehouse (Single & Multiple Tables)

• Data Lake Storage Gen2 → Lakehouse

• REST API → Lakehouse using Bearer Token

• On-Premise SQL Server → Lakehouse / Warehouse (Full & Incremental Loads)

• On-Premise File System → Lakehouse

📌 Module 5 – Advanced Data Pipeline Techniques

• Dynamic Table Mapping with Config Tables

• Incremental Data Loads (Multiple Tables)

• Pipeline Concurrency Handling

• Event-Based Pipeline Execution

• Merging & Filtering Data (Excel, Multi-Sheet, Multi-Source)

📌 Module 6 – Automation & Optimization

• Logging Pipeline Activities to Warehouse Tables

• Custom Pipeline Templates for Reusability

• Real-World Integration Scenarios Across Azure, AWS, and On-Prem Systems

👤 Who Is This Course For?

• Data Engineers & BI Developers looking to upskill in Microsoft Fabric

• Azure Data Professionals integrating hybrid environments

• ETL/ELT Specialists seeking hands-on Fabric training

• Professionals preparing for Microsoft Fabric-related roles