Creating your own dbt package - Quick Revision & Summary

Recall & Review

beginner

What is a dbt package?

A dbt package is a reusable set of dbt models, tests, and macros that you can share and use across different projects.

beginner

Which file is essential to define a dbt package?

The packages.yml file lists the packages your project depends on, and the dbt_project.yml defines your own package's settings.

intermediate

How do you share your dbt package with others?

You can share your dbt package by publishing it to a Git repository, like GitHub, so others can add it as a dependency in their packages.yml.

beginner

What command installs packages listed in packages.yml?

Running dbt deps downloads and installs all packages listed in packages.yml into your project.

intermediate

Why create your own dbt package instead of copying models?

Creating a package lets you reuse code easily, keep it updated in one place, and share best practices across projects without duplication.

What file do you edit to add a new dbt package dependency?

A dbt_project.yml

B packages.yml

C models.sql

D profiles.yml

The packages.yml file is where you list external dbt packages your project depends on.

Which command downloads dbt packages listed in your project?

A dbt test

B dbt run

C dbt deps

D dbt compile

dbt deps downloads and installs all packages listed in packages.yml.

Where should you publish your dbt package for others to use it?

A Git repository like GitHub

B Local folder only

C Cloud storage like Dropbox

D Inside dbt Cloud only

Publishing your package to a Git repository like GitHub allows others to add it as a dependency.

What is a main benefit of creating your own dbt package?

A Avoid writing any SQL

B Make your project run faster

C Automatically generate dashboards

D Reuse code easily across projects

Creating a package helps reuse code and share it across projects without copying.

Which file defines your own dbt package's settings?

A dbt_project.yml

B profiles.yml

C schema.yml

D packages.yml

dbt_project.yml defines your project's or package's settings.

Explain the steps to create and share your own dbt package.

Think about how you organize, publish, and use the package in other projects.

Why is using dbt packages better than copying models between projects?

Consider the benefits of sharing code in one place.