#674 · Primary category: Education & Research

around-dataengineering

airflow data-engineering datascience devops infrastructure machine-learning mlops spark

A Data Engineering & Machine Learning Knowledge Hub

Project last updated:02/02/24

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Why we included this project

This repo is a personally curated collection of links, reading notes, and short write-ups rather than software you install, and that is the point. The author organizes deep dives on distributed databases like CockroachDB and FoundationDB alongside hands-on material on CDC, Iceberg, DuckDB, and Pinot, plus broader ML engineering and MLOps topics, so it works as a guided reading path more than a raw bookmark dump. A developer or tech lead trying to get oriented on the data stack can use it to find one well-chosen article before learning a new tool, or to sketch a personal learning roadmap. The selections lean toward real production problems rather than textbook theory, which makes it a practical reference for anyone building skills in data engineering and machine learning.

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