MrSuiChuan/data-warehouse-learning resource

Health v2 · maintenance only

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1218 stars · 221 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Chinese-language educational project teaching real-time and offline data warehouse construction for an e-commerce system, with hands-on code using Flink, Doris, Paimon, Hudi, Iceberg, SeaTunnel, DolphinScheduler, Dinky, and Datart. It covers the full ODS→DWD/DIM→DWS→ADS layered architecture with both batch and streaming pipelines.

Use cases

• learn to build a real-time data warehouse with flink and doris
• ecommerce data warehouse tutorial with example code
• compare paimon hudi and iceberg for data lakehouse
• practice offline data warehouse layering ods dwd dws ads
• learn seatunnel and dolphinscheduler for data sync and scheduling
• big data analytics project for portfolio
• build streaming etl pipelines with flinksql cdc

When to choose

• you want a complete end-to-end data warehouse project with runnable code
• you are learning modern Chinese big-data stack components like Doris, Paimon, and Dinky
• you need reference implementations of both real-time and offline warehouse patterns on the same business logic

When to avoid

• you need production-ready warehouse code for your own business
• you want a maintained library or framework rather than a tutorial project
• you do not read Chinese documentation

Facets

learning-resource · maturity active

etl streaming database data-visualization workflow-automation big-data analytics e-commerce tutorials jvm cloud data-warehouse real-time-data-warehouse offline-data-warehouse data-lake flink doris paimon hudi iceberg seatunnel dolphinscheduler dinky datart superset kafka mysql ecommerce-analytics chinese data-engineering docker linux

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