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

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

使用 PostgreSQL、Debezium、Kafka、JDBC 和 Grafana 实时捕获、流式传输、存储及可视化加密货币市场数据

In the fast-moving world of cryptocurrency, market data changes every second — prices fluctuate, trades execute, and volumes shift continuously. Capturing this stream of real-time data and transforming it into meaningful insights requires a robust and scalable pipeline.

在瞬息万变的加密货币世界中，市场数据每秒都在发生变化——价格波动、交易执行、成交量持续更迭。要捕获这些实时数据流并将其转化为有价值的洞察，需要一套稳健且可扩展的数据流水线。

In this project, I built a complete real-time crypto market data pipeline that captures, streams, stores, and visualizes live data from Binance using PostgreSQL, Debezium, Kafka, JDBC, and Grafana. The goal was to design an architecture that not only moves data instantly between systems but also keeps it queryable and monitorable in real time.

在这个项目中，我构建了一个完整的实时加密货币市场数据流水线，利用 PostgreSQL、Debezium、Kafka、JDBC 和 Grafana，实现了从币安（Binance）获取实时数据并进行捕获、流式传输、存储和可视化。其目标是设计一种架构，不仅能在系统间即时传输数据，还能确保数据在实时状态下具备可查询性和可监控性。

What began as a simple Binance data extractor evolved into a production-grade CDC (Change Data Capture) workflow capable of detecting every database change, streaming it through Kafka, storing it in a sink database, and visualizing it live on Grafana dashboards.

最初只是一个简单的币安数据提取器，最终演变成了一个生产级的 CDC（变更数据捕获）工作流。它能够检测数据库的每一次变更，通过 Kafka 进行流式传输，将其存储在目标数据库中，并在 Grafana 仪表板上进行实时可视化展示。