Cross-team model sharing in dbt - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is cross-team model sharing in dbt?

Cross-team model sharing in dbt means different teams use and build on each other's data models to avoid duplication and improve collaboration.

beginner

Why is it important to use ref() function in dbt for cross-team model sharing?

The ref() function creates dependencies between models, so teams can safely share and update models without breaking others.

intermediate

How does version control help in cross-team model sharing?

Version control tracks changes, helps teams review updates, and prevents conflicts when multiple teams work on shared models.

intermediate

What is a package in dbt and how does it support cross-team sharing?

A package is a reusable set of models and macros that teams can share and install, making it easy to reuse work across projects.

intermediate

Name one challenge of cross-team model sharing and a way to solve it.

Challenge: Conflicting changes from different teams. Solution: Use clear documentation, code reviews, and version control to coordinate updates.

What does the ref() function do in dbt?

A Creates a dependency between models

B Runs SQL queries faster

C Deletes old models

D Generates documentation automatically

The ref() function links models so dbt knows their order and dependencies.

Which tool helps teams track changes in shared dbt models?

A Version control (e.g., Git)

B Spreadsheet software

C Email threads

D Manual backups

Version control systems like Git track changes and help teams collaborate safely.

What is a dbt package used for?

A Visualizing data

B Compressing data files

C Scheduling dbt runs

D Sharing reusable models and macros

Packages let teams share sets of models and macros to reuse work easily.

Which practice helps avoid conflicts in cross-team model sharing?

A Working in isolation

B Ignoring changes

C Code reviews and documentation

D Deleting old models

Code reviews and clear documentation help teams coordinate and avoid conflicts.

Cross-team model sharing improves:

A Data storage costs only

B Collaboration and reduces duplicated work

C Only the speed of SQL queries

D The number of models created

Sharing models helps teams work together and avoid repeating the same work.

Explain how the ref() function supports cross-team model sharing in dbt.

Think about how models connect and update safely.

Describe one challenge teams face when sharing dbt models and how to overcome it.

Consider how teams coordinate changes.