Description
✅ What You Will Learn
📌 Module 1 – Getting Started with Microsoft Fabric
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Introduction to Microsoft Fabric
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Creating Workspaces, Understanding Roles & Terminology
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Installing OneLake Explorer & Data Studio
📌 Module 2 – Storage & Data Modeling
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Creating Lakehouses vs Warehouses
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Creating Shortcuts between Lakehouse, Warehouse & Data Lake
📌 Module 3 – Data Factory Experience
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Pipelines & Dataflows Overview
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End-to-End Scenarios & Mini Projects with Data Factory
📌 Module 4 – Data Integration from Multiple Sources
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Azure SQL DB → Lakehouse / Warehouse (Single & Multiple Tables)
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Data Lake Storage Gen2 → Lakehouse
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REST API → Lakehouse using Bearer Token
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On-Premise SQL Server → Lakehouse / Warehouse (Full & Incremental Loads)
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On-Premise File System → Lakehouse
📌 Module 5 – Advanced Data Pipeline Techniques
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Dynamic Table Mapping with Config Tables
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Incremental Data Loads (Multiple Tables)
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Pipeline Concurrency Handling
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Event-Based Pipeline Execution
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Merging & Filtering Data (Excel, Multi-Sheet, Multi-Source)
📌 Module 6 – Automation & Optimization
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Logging Pipeline Activities to Warehouse Tables
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Custom Pipeline Templates for Reusability
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Real-World Integration Scenarios Across Azure, AWS, and On-Prem Systems
👤 Who Is This Course For?
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Data Engineers & BI Developers looking to upskill in Microsoft Fabric
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Azure Data Professionals integrating hybrid environments
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ETL/ELT Specialists seeking hands-on Fabric training
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Professionals preparing for Microsoft Fabric-related roles
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