Fundamentals of Data Engineering

这不本手把手教你搭数据管道的工具书，而是一份关于数据工程师究竟该扮演什么角色的深度思辨。全书以“数据工程生命周期”为骨架，把生成、采集、编排、转换、存储、治理、部署串成一条完整的价值链，但其真正分量在于反复提醒读者：工程师的时间不应消耗在维护复杂工具的泥潭里，而应投向业务洞察与竞争优势。书中“快速取胜会留下技术债”“只在能形成差异化的地方写定制代码、其余用现成方案”“走出孤岛、从业务方获取反馈”等观点，直指一线实践中的常见陷阱。它适合想建立全局视野的技术负责人、准备面试者，以及渴望理解数据团队如何运作的跨界读者；对追求细节与案例的实操者而言，则更宜作为查漏补缺、定位知识版图的参考。

Joe Reis is a business-minded data nerd who’s worked in the data industry for 20 years, with responsibilities ranging from statistical modeling, forecasting, machine learning, data engineering, data architecture, and almost everything else in between. Joe is the CEO and Co-Founder of Ternary Data, a data engineering and architecture consulting firm based in Salt Lake City, Utah. In addition, he volunteers with several technology groups and teaches at the University of Utah. In his spare time, Joe likes to rock climb, produce electronic music, and take his kids on crazy adventures. Matt Housley is a data engineering consultant and cloud specialist. After some early programming experience with Logo, Basic and 6502 assembly, he completed a PhD in mathematics at the University of Utah. Matt then began working in data science, eventually specializing in cloud based data engineering. He co-founded Ternary Data with Joe Reis, where he leverages his teaching experience to train future data engineers and advise teams on robust data architecture. Matt and Joe also pontificate on all things data on The Monday Morning Data Chat.