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dbtdata~3 mins

Why project structure scales with team size in dbt - The Real Reasons

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The Big Idea

What if your data project could grow without chaos as your team gets bigger?

The Scenario

Imagine a small team trying to build a data project where everyone edits the same files without clear organization. As the team grows, files get mixed up, changes overwrite each other, and it becomes hard to find where things are.

The Problem

Without a clear project structure, team members waste time searching for code, accidentally break others' work, and struggle to understand the project. This slows down progress and causes frustration.

The Solution

Using a well-defined project structure in dbt organizes code into clear folders and models. It helps teams work independently without conflicts, makes code easier to find, and supports smooth collaboration as the team grows.

Before vs After
✗ Before
all_models.sql in one folder, everyone edits directly
✓ After
models/staging/, models/marts/, models/analytics/ folders with clear roles
What It Enables

With a good project structure, teams can grow confidently, collaborate efficiently, and deliver reliable data models faster.

Real Life Example

A data team at a growing company split their dbt project into layers: raw data, cleaned staging, and business marts. This clear structure let new members join easily and reduced errors during deployments.

Key Takeaways

Manual work without structure causes confusion and errors.

Project structure organizes code for easy collaboration.

It scales smoothly as the team and project grow.

Practice

(1/5)
1. Why is having a clear project structure important when the dbt team grows larger?
easy
A. It helps keep work organized and reduces confusion among team members.
B. It makes the project run faster on the computer.
C. It allows the team to use more complex SQL queries.
D. It automatically fixes errors in the data models.

Solution

  1. Step 1: Understand team collaboration needs

    As team size increases, many people work on the same project, so organization is key to avoid confusion.
  2. Step 2: Recognize the role of project structure

    A clear structure helps separate work, making it easier to manage and understand for everyone.
  3. Final Answer:

    It helps keep work organized and reduces confusion among team members. -> Option A
  4. Quick Check:

    Clear structure = organized teamwork [OK]
Hint: Think about teamwork and avoiding confusion [OK]
Common Mistakes:
  • Confusing project speed with team organization
  • Assuming structure fixes errors automatically
  • Believing complexity equals better structure
2. Which of the following is the correct way to organize models in a dbt project for a growing team?
easy
A. Separate models into folders by their purpose or domain.
B. Use random folder names to avoid conflicts.
C. Write all models in a single SQL file.
D. Put all models in one folder to keep things simple.

Solution

  1. Step 1: Review folder organization best practices

    Separating models by purpose or domain helps teams work independently without conflicts.
  2. Step 2: Evaluate options

    Keeping all models in one place or random names causes confusion and conflicts.
  3. Final Answer:

    Separate models into folders by their purpose or domain. -> Option A
  4. Quick Check:

    Folder by purpose = less conflict [OK]
Hint: Group models by what they do, not all together [OK]
Common Mistakes:
  • Thinking one folder is simpler for many people
  • Ignoring the importance of clear naming
  • Believing random names help avoid conflicts
3. Given this dbt project structure:
models/
  staging/
    customers.sql
    orders.sql
  marts/
    sales.sql
    finance.sql

What is the main benefit of this structure for a team?
medium
A. It forces everyone to edit the same files to avoid duplication.
B. It hides the staging models from the team.
C. It makes the project run faster by splitting files.
D. It allows team members to work on staging and marts independently.

Solution

  1. Step 1: Analyze folder roles

    Staging folder holds raw data models; marts folder holds business logic models.
  2. Step 2: Understand team workflow

    Separating these allows different team members to work on different layers without interfering.
  3. Final Answer:

    It allows team members to work on staging and marts independently. -> Option D
  4. Quick Check:

    Separate folders = independent work [OK]
Hint: Think about who edits which folder [OK]
Common Mistakes:
  • Assuming splitting files speeds up project execution
  • Believing all team members must edit same files
  • Thinking staging models are hidden
4. A dbt team notices frequent merge conflicts because everyone edits models in the same folder. What is the best fix?
medium
A. Delete unused models to reduce files.
B. Ask everyone to edit only one model file.
C. Move models into separate folders by feature or domain.
D. Use random file names to confuse conflicts.

Solution

  1. Step 1: Identify cause of conflicts

    Editing many models in one folder causes overlapping work and merge conflicts.
  2. Step 2: Apply project structure best practice

    Separating models by feature or domain reduces overlap and conflicts.
  3. Final Answer:

    Move models into separate folders by feature or domain. -> Option C
  4. Quick Check:

    Separate folders reduce conflicts [OK]
Hint: Separate work areas to avoid editing clashes [OK]
Common Mistakes:
  • Thinking deleting files solves conflicts
  • Believing random names help avoid conflicts
  • Assuming one file for all is better
5. Your dbt team has grown to 10 members working on different business areas. How should you organize the project structure to scale efficiently?
hard
A. Keep all models in one folder but use prefixes in file names.
B. Create separate folders for each business area and assign team members accordingly.
C. Let each member create their own folder with no naming rules.
D. Merge all models into a single large SQL file to simplify.

Solution

  1. Step 1: Consider team size and work areas

    With many members, organizing by business area reduces overlap and confusion.
  2. Step 2: Evaluate options for scalability

    Separate folders with clear ownership help manage changes and onboarding.
  3. Step 3: Avoid poor practices

    Single folder or random folders cause conflicts; one big file is unmanageable.
  4. Final Answer:

    Create separate folders for each business area and assign team members accordingly. -> Option B
  5. Quick Check:

    Folder per area = scalable teamwork [OK]
Hint: Group by business area for clear ownership [OK]
Common Mistakes:
  • Using one folder with prefixes causes conflicts
  • Random folders confuse team members
  • One big file is hard to maintain
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