Capturing, Streaming, Storing, and Visualizing Crypto Market Data in Real Time with PostgreSQL, Debezium, Kafka, JDBC & Grafana

This project demonstrates how to build a real-time crypto market data pipeline that captures, streams, stores, and visualizes live data from Binance using PostgreSQL, Debezium, Kafka, JDBC, and Grafana. The focus is on creating a scalable solution to handle the rapid fluctuations in cryptocurrency prices. This approach is crucial for traders and analysts who need to make data-driven decisions quickly, as it provides instant insights into market trends and behaviors. The implementation highlights the importance of robust data architecture in the fast-paced crypto world.