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
Other Useful Business Software
$300 Free Credits to Build on Google Cloud
Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of SZT-bigdata!