Ep2. Data Engineering at Uber and Lyft

这一期节目我们和嘉宾泉来聊一聊Data Engineering，在Uber和Lyft的应用和工作体验，对于行业发展的反思与展望，以及对于入行Data Engineering的建议。只要你对Large Scale Data Engineering感兴趣，本期节目都会对你有帮助 :)

Timestamps:

00:00:00 Intro00:00:40 Data Infrastructure vs Data Engineer00:02:45 Data Engineering 领域介绍00:09:00 Pipeline权限设置00:11:00 Pipeline在Uber的使用场景00:11:45 如何追踪Data Owner00:11:52 如何保护用户数据隐私00:17:16 Data Infra转到Data Engineer的日常工作00:21:44 Data Quality Tier00:32:52 Uber vs Lyft 数据量级和迭代的区别00:35:46 COVID影响00:38:40 对颠覆性产业和商业模式的反思00:40:27 规模效应和数据00:41:26 ML Infra vs Data Infra00:44:47 对新入行Data Engineering的建议00:47:28 联系方式

Links:

Airflow: https://airflow.apache.org/Piper: https://eng.uber.com/no-code-workflow-orchestrator/uWorc: https://eng.uber.com/no-code-workflow-orchestrator/Amundsen: https://eng.lyft.com/open-sourcing-amundsen-a-data-discovery-and-metadata-platform-2282bb436234PII: https://en.wikipedia.org/wiki/Personal_dataGDPR: https://en.wikipedia.org/wiki/General_Data_Protection_RegulationETL: https://en.wikipedia.org/wiki/Extract,_transform,_load联系泉来：mail@quanlai.li

联系方式：

官网: eng.cafe/微信公众号: Eng CafeTwitter: @engcafefmYoutube: Eng CafeEmail: [email protected]

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