# data-engineering-community/data-engineering-wiki

The best place to learn data engineering. Built and maintained by the data engineering community.

Repository: https://github.com/data-engineering-community/data-engineering-wiki
Canonical: https://ross.abutalabs.com/products/data-engineering-wiki
Homepage: https://dataengineering.wiki
Language: CSS
License: CC0-1.0
License Family: permissive
Topics: data, database, data-engineering, data-engineer, sql, data-modeling, data-pipelines, etl
Last push: 2026-07-30T05:07:30+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 95, release rhythm 35, longevity 100
- inputs: {"age_days": 1948, "days_push": 34, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2018, forks 240 (observed 2026-08-28T04:06:06.106047+00:00)

## What it is
A community-maintained wiki of notes, guides, FAQs, and curated learning resources for data engineering, usable offline and designed for Obsidian-compatible knowledge tools. It covers concepts, tools, data modeling, and career guidance for aspiring and practicing data engineers.

## Use cases
- learn data engineering from scratch
- find resources to become a data engineer
- understand data modeling and ETL concepts
- compare data engineering tools before choosing one
- prepare for data engineering interviews
- build a personal knowledge base on data engineering

## When to choose
- you want free, community-vetted learning material for data engineering
- you use Obsidian, Foam, or Roam and want importable notes
- you need guidance on tooling and architecture decisions in data pipelines

## When to avoid
- you need hands-on interactive courses or certifications
- you want official vendor documentation for a specific tool
- you need a runnable software project rather than reference material

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: tutorials, awesome-lists, databases
- platform: cross-platform
- tags: wiki, obsidian, community-maintained, data-pipelines, sql, etl, knowledge-base, data-engineering

## Member repositories
- data-engineering-community/data-engineering-wiki (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:06.106047+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 2026-08-30T03:00:27.919614+00:00, confidence not recorded.
  - readme: https://github.com/data-engineering-community/data-engineering-wiki (fetched 2026-08-28T04:06:06.106047+00:00, sha a8d50bb2e9db)
  - homepage: https://dataengineering.wiki (fetched 2026-08-29T10:40:21.738978+00:00, sha e65605f4cac2)
- Data as of 2026-08-30T08:39:29.467469+00:00.
