dbt in Production
This hands-on training will give you the skills you need to run dbt in production. You will learn how to create robust CI workflows and best practices for orchestrating dbt workloads. This training is focused on dbt Core rather than dbt Cloud.
What will you learn?
After the training, you will be able to:
Design robust CI pipelines for dbt to safely deploy your project into production
Enforce dbt standard with CI
Use Docker to run dbt on an orchestrator such as Airflow or Dagster
Support your team by providing constructive feedback on pull-requests
- Recap of dbt best practices in terms of project structure
- Pre-commit hooks for dbt projects
- Running dbt in CI pipelines
- Packaging dbt in a Docker container
- Orchestration options using Airflow and Dagster
- Advanced use cases for dbt artifacts
This training is for you if:
You want to set up a robust CI pipeline to support your team’s dbt development
You want to scale your dbt conventions across multiple teams in a Data Mesh
You want to orchestrate dbt as painlessly as possible
You use dbt Core or want to move to using dbt Core
Why should I follow this training?
Get your dbt models out of staging and into production
Learn with hands-on real life examples – learn today, apply tomorrow!
Use key developer skills in your dbt projects
should I know?
After registering for this training, you will receive a confirmation email with practical information. A week before the training, the trainer will get in touch to ask you about any requirements you may have and any pre-course tasks you will need to do.
See you soon!
You need a laptop to take part in this training
All literature and course materials are included in the price
You will be given access to an existing dbt project containing models to put into production
Also included is a connection to a data warehouse with data provided