Life & fun · November 16, 2017
The Zen of Data Pipelines (Book)
The Zen of Data Pipelines (Book) launched on November 16, 2017 with 27 votes, #846 of 3,137 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
The Zen of Data Pipelines is a book about building and managing data pipelines. It was published in 2017 and is available online. The book covers principles and practices for designing efficient data workflows. It's intended for engineers and technical professionals who work with data systems and want to understand best practices for pipeline architecture and maintenance.
written from the facts on this page · September 2026
Does a similar job
all alternatives →- SPSelf-Published Book – “Data Science in Production”2020 · ▲172
Hi HN, Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects. To author the book, I used the Leanpub platform to provide drafts of the text as I completed each chapter. To typeset the book, I used the R bookdown package by Yihui Xie to translate my markdown into a PDF format. I also used Google docs…
Data pipelines for data scientists (new open-source notebook)2022 · mage.ai · ▲36Mage AI helps data teams build, orchestrate, monitor, and repair production data pipelines with editable SQL and Python for analytics, applications, and AI.
Data Engineering Book – An open source, community-driven guideFeb 2026 · github.com · ▲251Hi HN! I'm currently a Master's student at USTC (University of Science and Technology of China). I've been diving deep into Data Engineering, especially in the context of Large Language Models (LLMs). The Problem: I found that learning resources for modern data engineering are often fragmented and scattered across hundreds of medium articles or disjointed tutorials. It's hard to piece everything together into a coherent system. The Solution: I decided to open-source my learning notes and build them into a structured book. My goal is to help developers fast-track their learning curve. Key…
- IMInteractive map for architecting big data pipelines2017 · xyz.insightdataengineering.com · ▲144
I built an open-source data pipeline tool in Go2024 · github.com · ▲200Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…
Goodreads Data Pipeline2020 · github.com · ▲213An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform. - san089/goodreads_etl_pipeline
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