End-to-End Data Engineering Project with Microsoft Fabric

Fresh off passing the DP-600 exam, I designed this end-to-end data engineering project to showcase my skills with Microsoft Fabric and its powerful tools. I implemented this project to demonstrate how Microsoft Fabric simplifies the entire data workflow.

🌟 Key Highlights:

Data Ingestion: Using Bing API and Data Factory to source and process raw data into structured formats (e.g., JSON).
Centralized Storage: Leveraging One Lake for a scalable, unified data repository.
Data Engineering: Building pipelines and transforming data with Synapse Data Engineering.
Advanced Analytics: Applying Synapse Data Science for insights and predictive modeling.
Visualization and Automation: Creating dynamic dashboards with Power BI and triggering automated workflows with Data Activator.
Collaboration: Sharing actionable insights through Microsoft Teams.
This project is a practical demonstration of my skills in integrating data engineering and analytics on a cutting-edge platform. Special thanks to Mr. K Talks Tech for his invaluable mentorship throughout this journey.

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