dbt
Create effective data management workflows with dbt
2 d
Fundamental
Master dbt, the modern standard for analytics engineering
dbt training to transform your data with software engineering best practices: versioning, testing, documentation, CI/CD. Build maintainable and scalable transformation pipelines with dbt Core and dbt Cloud.
Official Training Partner
dbt Labs1
SFEIR Training available
Coming Soon
Official dbt Labs trainings
The modern standard for data transformation
Why train on dbt ?
dbt (data build tool) has become the standard for analytics engineering with over 100,000 practitioners worldwide. It transforms how data teams build and maintain their transformation pipelines by bringing software engineering best practices to data.
With dbt, your transformations become modular, tested, documented and versioned. Say goodbye to scattered and unmaintainable SQL scripts: dbt structures your code with reusable models, automated tests to ensure data quality, and generates interactive documentation with complete lineage.
From open source dbt Core to the enterprise capabilities of dbt Cloud (integrated IDE, CI/CD, orchestration, observability), master the tool that reduced data loading time by 93% at Siemens and achieved a 90% reduction in maintenance costs.
Modular Models
Reusable SQL transformations with Jinja, macros, and packages.
Automated Tests
Integrated data quality: uniqueness, non-nullity, relationships, values.
Living Documentation
Automatic lineage, descriptions, metrics: explore your data warehouse.
Who is concerned by dbt training?
Our dbt training is for all data profiles who transform and model data: Analytics Engineers building maintainable transformation pipelines, Data Engineers orchestrating ELT workflows, Data Analysts who want to industrialize their SQL queries with best practices.
Whether you want to adopt dbt in your organization, migrate your existing pipelines to dbt, or master advanced features (custom tests, packages, exposures, semantics), our training combines dbt Labs best practices and field experience from our data engineers implementing dbt on BigQuery, Snowflake and Databricks.
Data & Analytics Roles
Analytics EngineerData EngineerData Analyst
Architecture & Lead Roles
Data ArchitectTech Lead DataHead of Data
Business Intelligence Roles
BI DeveloperData ScientistML Engineer
Browse our dbt trainings by theme
Our dbt training catalog covers all the skills needed to master modern data transformation: from fundamentals to advanced features, from local development to production orchestration with dbt Cloud.
dbt Fundamentals
dbt architecture, models, sources, tests, documentation, deployment.
Advanced Features
Macros, Jinja, variables, flow control, packages, snapshots, incremental models.
Tests & Quality
Generic and custom tests, data quality, assertions, monitoring.
dbt Cloud
Integrated IDE, orchestration, CI/CD, observability, team collaboration.
Data Stack Integrations
BigQuery, Snowflake, Databricks, Redshift, Postgres, integration with BI tools.
Documentation & Lineage
Automatic documentation, data lineage, data catalog, exposures.
Available dbt Trainings
SFEIR training to master dbt and modern data transformation
Coming Soon
Official dbt trainings
In partnership with dbt Labs, we are developing our official training covering the complete ecosystem: Core, Cloud, and analytics engineering.
Get notifieddbt Certifications
Officially validate your dbt skills with globally recognized certifications. Our training effectively prepares you for these certification exams, combining dbt Labs best practices and field experience.
Discover all dbt certifications →Analytics Engineering Certification
Validates your ability to build, test, and maintain models to make data accessible to other teams.
Architect Certification
Validates your skills to configure, troubleshoot, optimize dbt projects and manage connections and environments.
Level up your dbt skills with our certified experts
Our training advisors are available to build your personalized dbt training path, adapted to your data transformation goals and technical context.