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1. Microsoft Fabric Architecture &
Use Cases
PRESENTED BY Pavan Kalyan
Muniganti
Data Engineer

2. Agenda
• Overview of Microsoft Fabric
• Why Microsoft Fabric?
• Architecture
• Key Components
• Use Cases
• Real-World Scenarios
• Setup/Integration
• Q&A
• Thank You

3. Overview of Microsoft Fabric
• Microsoft Fabric is an end-to-end SaaS data
platform.
• Combines Data Engineering, Warehousing, BI,
Real-time Analytics, and Data Science.
• Unifies collaboration across data professionals
and business users.

4. Why Microsoft Fabric?
• Unified analytics platform (Data Factory +
Synapse + Power BI)
• Built-in data governance and security
• Lake-centric and open by design
• Integrated with Microsoft 365
• Low-code and pro-code environments
• No infrastructure management

5. Architecture
• Data Integration: Data Factory, Event Streams
• Data Engineering: Notebooks, Pipelines
• Data Warehousing: Lakehouse, SQL Endpoint
• Real-Time Analytics: KQL DB, Event Hub
Integration
• Data Science: ML Notebooks, AutoML
• Visualization: Power BI
• Storage: OneLake (centralized data lake)

6. Key Components
• OneLake
• Fabric Workspaces
• Notebooks & Pipelines
• Lakehouse
• Data Warehouse
• KQL Database
• Power BI Integration

7. Use Case – Retail Analytics
• Integrate POS data using Dataflows
• Transform and model data in Lakehouse
• Use Power BI for dashboards
• Anomaly detection on sales data using ML
• Real-time alerts via Event Streams

8. Real-World Scenarios
• Customer Churn Prediction
• Real-time Inventory Management
• Financial Reporting Automation
• IoT Sensor Data Analytics
• Marketing Campaign Analysis

9. Setup/Integration
• Create Microsoft Fabric workspace
• Link with OneLake
• Add Data Pipeline or Lakehouse
• Use Dataflow Gen2 for ingestion
• Enable Power BI for visualization

10. Q&A

11. Thank You