Build production-grade data systems.
Learn data engineering through streaming systems, analytics platforms, distributed architectures, and open-source collaboration. Not a bootcamp. Not a blog. A working engineering ecosystem.
// community.metrics
view all →// featured.domains
Two flagship systems. Two engineering paradigms.
Formula 1 Analytics Platform
Ingest F1 telemetry, transform into a warehouse model, serve BI dashboards. End-to-end analytics engineering.
Banking Fraud Detection Platform
Real-time fraud detection using CDC, event streaming, and distributed processing. Kafka → Flink CEP → OpenSearch.
// sandbox
OpenSource-QuBit-Projects
Community-run experiments, contributions, and shared pipelines. The place to try something new without breaking a flagship.
Browse sandbox on GitHub ↗- PRfeat(flink): CEP rules for velocity fraudfraud-platform · @nadia
- PRfix(duckdb): release write lock on retryf1-analytics · @marco
- issueAdd Iceberg sink to sandbox pipelineopensource-projects · @jules
- PRdocs: partition rebalancing deep-divekafka-track · @sara
// learning.tracks
Structured paths, real systems.
Apache Kafka Learning Track
Producers, consumers, partitions, rebalancing — build a working event-driven system.
dlt Fundamentals Workshop
Modern ELT with dlt: extract from APIs, load to warehouses, model with confidence.
Analytics Engineering with dbt
Warehouse modeling, tests, docs, exposures — from source to serving layer.
Learn by building. Contribute to what you use.
Every project is open. Every issue is real. Pick one, fork it, ship it.