Skip to content

elastic/dbt_duckdb

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

28 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

SQL Test dbt Project

Welcome to the sql test repository! This project is based on the dbt and uses an embedded DuckDB database with sample Salesforce data.

The goal of this test is to evaluate your understanding of SQL, dbt, and dimensional data modeling concepts.

Instructions

  • Fork the Repository

  • Clone Your Fork

  • Set Up dbt

  • Explore Staging Models

  • Build Dimension & Fact Models:
    Based on the relevant staging models, create the following:

    • Dimension Models: Identify and create necessary dimension tables. These can be date dimensions, user dimensions, product dimensions, etc. depending on the staging data provided.
    • Fact Models: Build out the fact tables that centralize the measures and keys.

    Ensure your models are placed in the appropriate directories (e.g., models/dimensions/ and models/facts/).

  1. Test Your Models:
    Use dbt's testing functionality to ensure the integrity of your models. Ensure that relationships are correctly established, and there are no data anomalies.

    dbt run
    dbt test
    
  2. Commit Your Changes:
    Once you're satisfied with your models, commit your changes:

    git add .
    git commit -m "Completed dimension and fact models"
    
  3. Push & Create Pull Request:
    Push your changes to your fork and then create a pull request against the original repository.

    git push origin main
    
  4. Submit Your Test:
    After creating the pull request, notify the hiring team or submit the link as per the application instructions.

Evaluation

Your submission will be evaluated based on:

  • Correctness of the models.
  • Efficiency and simplicity of the SQL written.
  • Adherence to dbt best practices.
  • Robustness of tests and validations.

Questions

If you have any questions or run into issues, please reach out to contact@example.com.

Best of luck, and we look forward to reviewing your models!


Adjust the content as needed based on the specifics of your test or any additional details you'd like to include.

About

Boiler Plate dbt Project using Sqlite for Interview Test

Resources

Security policy

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published