# DataExpert-io/data-engineer-handbook

This is a repo with links to everything you'd ever want to learn about data engineering

Repository: https://github.com/DataExpert-io/data-engineer-handbook
Canonical: https://ross.abutalabs.com/products/data-engineer-handbook
Language: Jupyter Notebook
License Family: other
Topics: apachespark, awesome, bigdata, data, dataengineering, sql
Last push: 2026-08-03T20:29:57+00:00

## Health v2 (maintenance only)
Score: 69/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 95, release rhythm 35, longevity 72
- inputs: {"age_days": 1018, "days_push": 30, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 43870, forks 9254 (observed 2026-08-28T04:12:09.151186+00:00)

## What it is
A curated handbook of links and resources for learning data engineering, including roadmaps, book lists, communities, boot camps, and project ideas. It is a reference collection rather than runnable software.

## Use cases
- learn data engineering from scratch
- find a roadmap to break into data engineering
- find the best data engineering books
- prepare for data engineering interviews
- find data engineering communities and newsletters
- get project ideas for a data engineering portfolio

## When to choose
- you are a beginner looking for a structured learning path into data engineering
- you want a curated, community-maintained list of tools, books, and communities
- you want free boot camp materials and hands-on project ideas

## When to avoid
- you need runnable code or a production data pipeline tool
- you want an interactive course platform rather than a link collection
- you need official documentation for a specific data tool

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: big-data, tutorials, awesome-lists, education
- platform: cross-platform
- tags: data-engineering, handbook, awesome-list, learning-roadmap, bootcamp, sql, apache-spark, career-advice

## Member repositories
- DataExpert-io/data-engineer-handbook (main) score 69

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:09.151186+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:22:16.570018+00:00, confidence not recorded.
  - readme: https://github.com/DataExpert-io/data-engineer-handbook (fetched 2026-08-28T04:12:09.151186+00:00, sha 7472ceb5ca0c)
- Data as of 2026-08-30T08:39:29.467469+00:00.