Building a Real-Time Retail Analytics Pipeline | Azure + Airflow + Kafka + Streamlit

🔥 Complete Real-Time Retail Analytics Pipeline Tutorial

In this video, I demonstrate how to build an end-to-end retail sales analytics pipeline using modern data engineering tools. Watch how I combine azure cloud services and open-source technologies to create a powerful real-time analytics solution!

⚡ What You'll Learn:
- Setting up Apache Airflow on Azure VM using Docker
- Implementing real-time data streaming with Apache Kafka
- Building a data warehouse in Azure Synapse Analytics
- Creating interactive dashboards with Streamlit
- Generating and processing synthetic retail data

🛠️ Technologies Used:
- Azure Virtual Machine & Synapse Analytics
- Apache Airflow
- Apache Kafka
- Streamlit
- Python

💡 Features Covered:
- Automated ETL pipeline
- Real-time data processing
- Interactive visualization dashboard
- Configurable refresh rates (5-300 seconds)
- Multiple concurrent chart visualizations
- Comprehensive sales metrics

🔗 Project Resources:

#DataEngineering #Azure #ApacheAirflow #Streamlit #DataPipeline #Analytics #Python #ETL

💼 Want to collaborate or have questions? Drop them in the comments below!

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