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Data engineering study guide v1.0.0

Use this resource to learn and review data engineering concepts and tools

New

  • 331 downloads
  • 196 likes
  • 124 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install data-engineering-study-guide

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent explains core concepts, ETL pipeline design, data quality and batch versus streaming processing, with code examples. It can guide you through a learning order. You get a structured review path.

Mostly picked by

Updated November 2, 2026

Card for the “Data engineering study guide” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: core concepts and pipeline architectures
  • SKILL.md: ETL, Airflow DAG, Spark and Kafka examples

Good fit for

  • You are preparing a data engineering interview
  • You are starting out and want a structured path

Not for

    Tags

    • data engineering
    • etl
    • spark
    • kafka

    About

    You say

    “Explain the difference between batch and streaming processing, with a Spark example.”

    Card for the “Data engineering study guide” skill

    Skill published by reason-machines under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to learn and review data engineering concepts and tools
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE0 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md17.6 KB

    Origin and licence

    Listed unmodified

    Author
    reason-machines
    Source
    github.com/reason-machines/data-skills/tree/25d6ee79eea935ef4be1ee375a5777b2ad259f0a/skills/data-engineering-study-material
    Licence
    MIT

    Notice

    « data-engineering-study-material » (reason-machines, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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