这期节目是北美程序员求职系列的开篇，通过和朋友们讨论的形式和大家分享一下科技公司面试的方方面面 Show notes * 00:02:30 面试题和算法课的差别 * 00:08:10 LC1700+题怎么刷？ * 00:11:28 面试算法题准备的方方面面 * 00:31:38 面试题和实际工作编程的不同 * 00:36:15 刷题的意义 Links: * https://leetcode.com/ * Hello, my name is David. I would fail to write bubble sort on a whiteboard. I look code up on the internet all the time. I don't do riddles. https://twitter.com/dhh/status/834146806594433025 * Google: 90% of our engineers use the software you wrote (Homebrew), but you can’t invert a binary tree on a whiteboard so ** off. https://twitter.com/mxcl/status/608682016205344768 宰相小甘罗的主页 * https://www.youtube.com/channel/UCAvvkYnRNyObcHzOCaVgSrQ * https://space.bilibili.com/1551381295 联系方式： * 官网: eng.cafe/ * 微信公众号: Eng Cafe * Twitter: @engcafefm * Youtube: Eng Cafe * Email: [email protected] 收听渠道: * Apple Podcast * Google Podcasts * Overcast * Spotify * Pocket Casts * Breaker * Castro * Castbox * Podcast Addict * Player FM * RSS Feed
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：[email protected] 联系方式： * 官网: eng.cafe/ * 微信公众号: Eng Cafe * Twitter: @engcafefm * Youtube: Eng Cafe * Email: [email protected] 收听渠道: * Apple Podcast * Google Podcasts * Overcast * Spotify * Pocket Casts * Breaker * Castro * Castbox * Podcast Addict * Player FM * RSS Feed
作为工程师我们需要经常和经理One on one，本期节目我们来聊一聊我们都踩过哪些坑，有哪些经常谈的话题，怎么利用One on one更好地帮助自己发展 Show notes * 0:00 什么是One on one * 1:00 如何准备 * 4:20 准备One on one notes * 6:30 One on one聊哪些话题 * 7:30 Focus & priority alignment * 10:36 How can I help the team * 11:00 Brainstorm project ideas * 12:43 职业发展规划 * 14:15 定期Check-in是否on track * 16:30 和老板一起修改Performance review draft * 17:30 Follow up之前的One on one话题 * 18:30 需要建立起足够信任才能更好开展的话题 * 21:00 One on one什么形式 * 22:10 Small talk Links * The Pragmatic Programmer * Radical Candor --- 联系我们： - 官网: eng.cafe - Twitter: @engcafefm - Youtube: Eng Cafe FM - Email: [email protected] 收听我们: - Apple Podcast - Google Podcasts - Overcast - Spotify - Pocket Casts - Breaker - Castro - Castbox - Podcast Addict - Player FM - RSS Feed
Introducing eng.cafe，一款程序员闲聊节目 * 官网：eng.cafe * Email: [email protected] * Twitter: @engcafefm * 订阅：RSS
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