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)

Project Samples

SZT-bigdata Screenshot 1

Project Activity

See All Activity >

Categories

Big Data

License

MIT License

Follow SZT-bigdata

SZT-bigdata Web Site

Other Useful Business Software
AI-powered service management for IT and enterprise teams Icon
AI-powered service management for IT and enterprise teams

Enterprise-grade ITSM, for every business

Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
Try it Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of SZT-bigdata!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Scala

Related Categories

Scala Big Data Tool

Registered

2025-08-04
Report inappropriate content