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 Intro
• 00:00:40 Data Infrastructure vs Data Engineer
• 00:02:45 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 Owner
• 00:11:52 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 Tier
• 00:32:52 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 Infra
• 00:44:47 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-2282bb436234
• PII: https://en.wikipedia.org/wiki/Personal_data
• GDPR: https://en.wikipedia.org/wiki/General_Data_Protection_Regulation
• ETL: 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 Cafe
• Twitter: @engcafefm
• Youtube: Eng Cafe
• Email: [email protected]

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