15/03/2026
https://lnkd.in/gdrxiCFV
In this session, we walk through a complete Microsoft Fabric Data Engineering architecture from data ingestion to reporting using Fabric components such as Lakehouse, Dataflow Gen2, Pipelines, and Notebooks.
This demo explains how organizations can build a modern data platform to process large-scale data and deliver insights to business users.
Topics Covered
🔹 Data ingestion from business applications and OLTP systems
🔹 Loading data into Fabric Lakehouse (Bronze Layer)
🔹 Data transformation using Fabric Notebooks
🔹 Building Silver and Gold layers in Lakehouse
🔹 Data aggregations, data derivations, and data combining
🔹 Implementing SCD (Slowly Changing Dimensions) concepts
🔹 Creating semantic models and reports in Power BI
Microsoft Fabric Components Used
✔ Lakehouse
✔ Data Warehouse
✔ Dataflow Gen2
✔ Data Pipelines
✔ Notebooks
✔ Power BI
End-to-End Data Flow
Business Applications → Data Ingestion → Lakehouse (Bronze) → Transformation → Lakehouse (Silver) → Data Modeling → Lakehouse (Gold) → Power BI Reporting
What You Will Learn
• Real-world Data Engineering architecture
• Medallion Architecture (Bronze, Silver, Gold)
• Data ingestion and transformation in Microsoft Fabric
• Building analytics-ready datasets
• Creating Power BI reports from Fabric Lakehouse
Training Includes
✔ Recorded sessions
✔ Sample datasets
✔ Environment setup guidance
✔ Real-time project scenarios
✔ Exercises and use cases
✔ Interview preparation questions
Pre-Requisites
• SQL Basics
• Python Basics
📞 Training & Queries
Bhaskar Gonegandla
Azure Data Engineering Trainer
Phone: 9884984927
