# andkret/Cookbook

The Data Engineering Cookbook

Repository: https://github.com/andkret/Cookbook
Canonical: https://ross.abutalabs.com/products/andkret-cookbook
Homepage: https://learndataengineering.com/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: data-engineer, data-engineering, big-data, best-practices, cookbook
Last push: 2026-07-23T10:28:49+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 94, release rhythm 35, longevity 100
- inputs: {"age_days": 2733, "days_push": 41, "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 15371, forks 2753 (observed 2026-08-28T04:11:09.729639+00:00)

## What it is
The Data Engineering Cookbook is a free, open-source book by Andreas Kretz covering the skills, tools, and best practices needed to become a data engineer. It includes sections on basic and advanced engineering skills, hands-on tutorials, case studies, cloud platform best practices, portfolio project data sources, and interview questions.

## Use cases
- learn how to become a data engineer
- prepare for data engineering interviews
- find data sources for portfolio projects
- understand data platform architecture and ETL pipelines
- review data engineering best practices for cloud platforms
- find recommended books, courses, and podcasts for data engineering

## When to choose
- you are transitioning into data engineering from software development or another field
- you want a free, curated roadmap of data engineering skills and tools
- you need interview questions and case studies for job preparation
- you are looking for ideas and data sources for portfolio projects

## When to avoid
- you need a runnable software tool or library rather than learning material
- you want a structured, certified course with hands-on labs (the companion Academy is paid)
- you need deep, up-to-date documentation for a specific tool like Spark or Kafka

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, etl, data-science
- domain: big-data, tutorials, education
- platform: cross-platform
- tags: data-engineering, cookbook, interview-preparation, career, best-practices, free-book

## Member repositories
- andkret/Cookbook (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:09.729639+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 2026-08-29T17:06:20.649458+00:00, confidence not recorded.
  - readme: https://github.com/andkret/Cookbook (fetched 2026-08-28T04:11:09.729639+00:00, sha 5cb93a3f39de)
  - homepage: https://learndataengineering.com/ (fetched 2026-08-29T08:04:19.550216+00:00, sha b096fe4deadd)
  - site_page: https://hello.learndataengineering.com/quickstart-guide (fetched 2026-08-29T08:04:19.564459+00:00, sha 60e4d9074211)
  - site_page: https://learndataengineering.com/p/free-labs (fetched 2026-08-29T08:04:19.559704+00:00, sha 7419e3755e99)
  - site_page: https://learndataengineering.com/p/academy (fetched 2026-08-29T08:04:19.561955+00:00, sha ac1e5aab9124)
- Data as of 2026-08-30T08:39:29.467469+00:00.