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dbt Data Transformation
12 units
Interactive
Data Science

dbt Data Transformation

12 h 1 12 Units Certificate in 7 languages Unlimited access Mobile compatible
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Course is free · Certificate from 55 $

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What is dbt Data Transformation?

dbt Data Transformation Training

The dbt Data Transformation certificate program teaches you how to use dbt (data build tool) to transform raw data into analytics-ready datasets. It is designed for data analysts, data engineers, and analytics engineers who want to adopt modern, version-controlled, and testable data transformation workflows. By the end of the program, you will be able to build and maintain production-grade dbt projects that deliver reliable, documented, and fresh data models.

The program follows a beginner-friendly progression, starting with dbt fundamentals and project setup, then moving through core concepts like models, sources, and seeds. It balances theory with hands-on practice across twelve lessons, covering dynamic SQL with Jinja, automated testing, documentation, advanced materializations, incremental models, hooks, operations, packages, and CI/CD state-based runs. You will also explore the differences between dbt Cloud and dbt Core, and complete a real-world capstone project. This training is essential now because organizations increasingly demand data reliability and agility, and dbt has become the industry standard for transforming data in modern data stacks.

What is dbt Data Transformation?

dbt Data Transformation is a methodology and toolset for applying SQL-based transformations to data already loaded into a data warehouse. Its core concepts include models (select statements that define transformations), sources (raw tables ingested from source systems), and seeds (CSV files loaded into the warehouse). dbt enables analysts to write transformations as modular, reusable SQL files, manage dependencies, and execute them in the correct order, all while maintaining a single source of truth for business logic.

Today, dbt is widely adopted across industries—from e-commerce and finance to healthcare and SaaS—because it bridges the gap between raw data ingestion and business intelligence. Recent shifts toward data mesh, dataops, and analytics engineering have made dbt a critical tool for enabling self-service analytics and reducing data pipeline maintenance. It is used in real-world scenarios to build customer 360 views, financial reporting pipelines, marketing attribution models, and operational dashboards, often running on cloud warehouses like Snowflake, BigQuery, and Redshift.

Mastering dbt Data Transformation builds a skill stack that includes SQL proficiency, data modeling best practices, version control with git, testing and documentation automation, and CI/CD for data pipelines. These skills are directly applicable to roles such as analytics engineer, data analyst, data engineer, and data architect. Professionals who master dbt can dramatically reduce time spent on manual data wrangling, improve data trust across their organization, and contribute to scalable, maintainable data platforms that support both ad-hoc analysis and production reporting.

Common Questions About dbt Data Transformation

Is dbt data transformation course suitable for SQL beginners?
Yes, the course is designed for beginners with basic SQL knowledge. It starts with dbt fundamentals and project setup, gradually building up to advanced concepts.
How does dbt certification boost your data engineering resume?
A dbt certification demonstrates your ability to build production-grade data transformation pipelines using version-controlled, testable workflows. It signals to employers that you understand modern ELT practices, CI/CD integration, and data quality monitoring. The certificate includes a verification code that employers can check online, adding credibility to your resume.
How does dbt ref() build the dependency graph?
The ref() function in dbt builds the dependency graph by parsing the model references in your SQL code. When you write '{{ ref("model_name") }}', dbt automatically resolves the correct table or view name and creates an edge in the DAG. This allows dbt to determine the correct execution order, run only affected models, and enable features like slim CI. For example, if model B references model A, dbt knows that A must run before B. This graph is visualized in the dbt documentation, making dependencies explicit and easy to audit. The dependency graph is the foundation for incremental builds and state-based runs.
What are the four incremental strategies in dbt?
The four incremental strategies in dbt are:
  • merge: Inserts new rows and updates existing ones based on a unique key.
  • insert_overwrite: Replaces entire partitions or date ranges with fresh data.
  • delete+insert: Deletes matching rows then inserts new ones.
  • append: Simply adds new rows without modifying existing data.
Each strategy is suited for different data volumes and update patterns.
How do dbt hooks automate tasks before and after models?
dbt hooks are SQL or shell commands that run automatically at specific points in the model execution lifecycle. They can be configured at the project, model, or seed level. For example, a pre-hook can grant permissions on a schema before a model runs, while a post-hook can run a cleanup or logging statement after. Hooks follow a defined execution order: project-level hooks run first, then model-level hooks, and finally seed-level hooks. This automation reduces manual steps and ensures consistency.
Why use Jinja macros for dynamic SQL in dbt?
Jinja macros allow you to write reusable SQL snippets that can be parameterized, reducing code duplication and improving maintainability. Instead of writing the same complex join or date filter multiple times, you define a macro once and call it with different arguments. Macros also enable dynamic SQL generation, such as looping over a list of columns or conditionally including clauses. This makes your dbt project more modular and easier to update.
Is dbt just a SQL query tool or something more?
dbt is much more than a SQL query tool. It is a complete data transformation framework that includes version control, testing, documentation, dependency management, and CI/CD integration. While you write SQL models, dbt compiles them, builds a dependency graph, runs tests, generates documentation, and supports incremental builds. It transforms raw data into analytics-ready datasets with engineering best practices.

What Will This Course Bring You?

  • Set up a dbt project and configure profiles for data warehouse connections.
  • Build and test dbt models using sources, seeds, and ref functions.
  • Apply Jinja and macros to create dynamic SQL transformations.
  • Implement data quality tests and generate documentation for dbt models.
  • Design incremental models using advanced materializations for efficient data loading.
  • Evaluate data freshness and implement custom data quality checks using dbt.
  • Configure CI/CD pipelines and state-based runs for dbt projects.

Curriculum

12 Units
01

1. dbt Fundamentals and Project Setup

1 h

02

2. Core dbt Concepts: Models, Sources, and Seeds

1 h

03

3. Building and Testing dbt Models

1 h

04

4. Jinja and Macros for Dynamic SQL

1 h

05

5. dbt Tests and Documentation

1 h

06

6. Advanced Materializations and Incremental Models

1 h

07

7. dbt Hooks, Operations, and Analyses

1 h

08

8. dbt Packages and Project Structure

1 h

09

9. Data Quality and Freshness

1 h

10

10. dbt Cloud vs. dbt Core

1 h

11

11. Advanced Workflows: CI/CD and State-Based Runs

1 h

12

12. Real-World dbt Project: Capstone

1 h

Exam – dbt Data Transformation

20 Questions • 70% Pass • 30 min

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Exam – dbt Data Transformation

20 Questions • Pass: 70% • 30 min

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Course Duration

720

Total Minutes

12

Unit

1

Final Exam

~60

Min / Unit

dbt Data Transformation Certificate Program

Document Your Skill

Those who pass the 20-question, 30-minute exam with 70% receive the dbt Data Transformation Certificate.

Stand Out on Your CV

By adding your certificate to your CV, gain a professional reference in job applications and stand out from the crowd.

Career Advantage

Catch Wisdom certificates are recognized by HR departments and increase career opportunities.

Sample dbt Data Transformation Certificate
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CERTIFICATE FEE

110 $ 55 $
Certificate Details

At the end of the course, an online exam consisting of 20 questions with a 30-minute time limit is given. The exam appears automatically after you complete the topics. Anyone who scores at least 70 out of 100 on the certificate exam is awarded the dbt Data Transformation Document (certificate of attendance). You can add the certificate you earn to your CV for job applications in the many sectors listed above, and use it as a reference proving that you took this interactive course.

The Certificate of Achievement you receive with the dbt Data Transformation course program holds value that proves your personal and professional development in the business world. By adding it to your CV, it can serve as an important reference in your job applications. Moreover, compared with certificates from other private training institutions, Catch Wisdom certificates are offered to our participants at a much more affordable price.

Because HR departments recognize Catch Wisdom as a reputable institution in this field, they value these certificates and may evaluate your job applications favorably. For this reason, a dbt Data Transformation course certificate from Catch Wisdom can make your applications more attractive and place you in an advantageous position in the business world.

For more information, we recommend visiting the Support page.

Certificate in 7 Languages

Earning success certificates from our courses is now more meaningful and global. With certificates available in Turkish, English, German, French, Spanish, Arabic, and Russian, we fully unlock the potential of students worldwide.

Why Certificate in 7 Languages?

  1. 01

    Global Skill Development

    Receiving your certificates in 7 different languages strengthens your communication skills as you engage with more people worldwide. It lets you operate more confidently and capably on the international stage.

  2. 02

    International Job Opportunities

    Employers may see your certificates in multiple languages as a sign of your ability to seize global opportunities. You can open more doors to new jobs and projects.

  3. 03

    Cultural Richness

    The chance to earn certificates in different languages helps you build closer ties with various cultures and broadens your worldview. It enriches your global perspective and deepens cultural understanding.

  4. 04

    Ability to Participate in International Projects

    Multilingual certificates give you an edge to work more effectively on international projects. They boost your chances of leadership and participation in diverse projects in the business world.

  5. 05

    Prove Yourself on the Global Stage

    Certificates in multiple languages let you showcase your skills and knowledge worldwide. You can become an internationally recognized professional.

Language diversity opens worldwide opportunities. If you want to prove yourself in the international arena, join our online dbt Data Transformation course program and begin this journey with us.

Frequently Asked Questions (FAQ)

Is this course paid?
No, all courses on Catch Wisdom are completely free to join. We believe education should be accessible to everyone.
How do I join the course?
After creating an account, you can join in one click with the "Start Course" button and begin immediately from the first unit.
Can I take the course at my own pace?
Yes, all courses are designed for self-paced learning. There are no deadlines or time limits.
How can I get my certificate?
After completing the course and passing the final exam, you can order your certificate and instantly download it as PDF.
What are the advantages of the Certified Certificate?
With instant PDF access, validity in 7 languages, a digital signature, and a unique verification code, your certificate becomes a professional reference in job applications.

Boost Your Career

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