Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Sign in
Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

A page, a video or an image online.

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

Retail data warehouse with PySpark and SQL Server v1.0.0

Use this resource to design a retail data warehouse with PySpark and SQL Server

New

  • 419 downloads
  • 111 likes
  • 176 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install retail-etl-pyspark-warehouse

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 describes the three warehouse layers, writes ingestion, cleaning and aggregation steps in PySpark, and loads the results into SQL Server. It also sets up the installation prerequisites. You get a documented, runnable warehouse architecture.

Mostly picked by

Updated November 2, 2026

Card for the “Retail data warehouse with PySpark and SQL Server” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

Similar resources

View all

What you get

  • SKILL.md: bronze, silver and gold layers and their rules
  • SKILL.md: prerequisites, installation and SQL Server setup

Good fit for

  • You must centralise data from several stores
  • You need a layered structure for your warehouse

Not for

    Tags

    • pyspark
    • data warehouse
    • medallion
    • sql server

    About

    You say

    “Describe the layers of my retail warehouse and write the PySpark job for the silver layer.”

    Card for the “Retail data warehouse with PySpark and SQL Server” 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 design a retail data warehouse with PySpark and SQL Server
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE0 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md17.3 KB

    Origin and licence

    Listed unmodified

    Author
    reason-machines
    Source
    github.com/reason-machines/data-skills/tree/25d6ee79eea935ef4be1ee375a5777b2ad259f0a/skills/retail-etl-pipeline-medallion
    Licence
    MIT

    Notice

    « retail-etl-pipeline-medallion » (reason-machines, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.