SZT‑bigdata is an open-source project analyzing real Shenzhen metro (subway) card usage data using big‑data frameworks like Spark, Hadoop, Hive, Kafka, Flink, ClickHouse, HBase, and Elasticsearch. Aimed at exploring transit passenger flow patterns and system optimization using a variety of Scala-based technologies.
Features
- Real-world Shenzhen metro smartcard dataset processing
- Implementation using multiple technologies: Scala, Spark, Hive, Kafka, Flink, etc.
- Performance comparison across different big data frameworks
- Visualizations and dashboards via Elasticsearch/Kibana or ClickHouse
- Emphasis on practical architecture and technology evaluation
- Rich educational material on Chinese GitHub (Chinese-language README)
Categories
Big DataLicense
MIT LicenseFollow SZT-bigdata
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