Fundamentals of Data EngineeringJoe Reis, Matt Housley
Fundamentals of Data Engineering
by Joe Reis, Matt Housley · first published 2022
10mentions
3recommended by
6HN commenters
2023–2025first – last mentioned
50% recommend50% neutral
Affiliate links. As an Amazon Associate I earn from qualifying purchases.
Fundamentals of Data Engineering by Reis and Housley covers those things very well.
on ““Foundations of Data Science”, Free Book by Hopcroft and Kannan [pdf]” ↗…politicized environments so they're almost inaccessible until a new executive comes in who can admit there are problems (or indeed, even see that there are problems). Joe Reis has some great stuff in Fundamentals of Data Engineering, which includes advice on early objectives when rolling out a new practice. Disclaimer: Joe has hosted me on his podcast, and we are in the mutual-marketing whirlpool together. But I've been recommending…
on “Get me out of data hell” ↗…smartest play is to keep the tiniest team physically possible and give them an absurd amount of leverage - which frequently takes the form of licensing the things that you really -can- commodify well. The fundamentals of data engineering (https://www.oreilly.com/library/view/fundamentals-of-data/97...) is adamant on this. If you're a new data engineering team, just buy things that download the data you need, because fetching data from…
on “The Failed Commodification of Technical Work” ↗…Engineering book [1]. Hopefully the authors can update the book soon to reflect the latest information and expand with another entire chapter for data management as they did to data architecture. [1] Fundamentals of Data Engineering: https://www.oreilly.com/library/view/fundamentals-of-data/97...
on “The Data Engineering Handbook” ↗Data Pipelines Pocket Reference: Moving and Processing Data for Analytics Fundamentals of Data Engineering: Plan and Build Robust Data Systems
on “Ask HN: What was the Data Engineering book recently recommend in HN comments?” ↗…you find difficult about it day to day personally? Any books you recommend? Just finished reading designing data intensive applications by martin kleppmann a month ago. Also just started looking at "Fundamentals of Data Engineering" by Joe Reis & Matt Housley. I apologize for some of these "cliche" questions that probably have already been asked, Im really just seeking mentorship from someone with any experience in the job, any…
on “Noob questions about Data Engineering” ↗…you equate software and computer people with smart people then the statement is true). Apparently, Fundamental of Data Engineering book does refer to cargo-cult metaphor inside its content [1]. [1] Fundamentals of Data Engineering: https://www.oreilly.com/library/view/fundamentals-of-data/97...
on “The origin of the cargo cult metaphor” ↗…did a good job on providing the framework that includes data engineering lifecycle, software engineering, data management, data architecture, etc. You can check the proposed framework here [1],[2]. [1] Fundamentals of Data Engineering: https://www.oreilly.com/library/view/fundamentals-of-data/97... [2] Fundamentals of Data Engineering Review: https://maninekkalapudi.medium.com/fundamentals-of-data-engi...
on “Data engineering and software engineering are converging” ↗…kind of killer application that will bring it to the fore. I'm envisioning that real-time data streaming, processing and engineering can be D killer utility and defining moment that D is for data. [1] Fundamentals of Data Engineering: https://www.oreilly.com/library/view/fundamentals-of-data/97...
on “I spent a year making an ASN.1 compiler in D” ↗While reading the Fundamentals of Data-Engineering I noticed that one of the most practically interesting parts, data extraction/acquisition, is essentially skipped. The author just noted its 'grayness'. That is web scraping is the SaaS form of 'piracy'.
on “The Great SaaS Gaslight” ↗