Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training dbt Cloud - Orchestrating Scalable Data Pipelines training are: Advanced SQL proficiency, experience with dbt Core and data warehouses (Snowflake, BigQuery). A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training dbt Cloud - Orchestrating Scalable Data Pipelines training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training dbt Cloud - Orchestrating Scalable Data... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

Configure your training

Response within 24hNo commitment100% free

8 spots remaining for the next session

FormatParticipantsDateDetails

Which format do you prefer?

Methods, approaches, and teaching resources

The Training dbt Cloud - Orchestrating Scalable Data Pipelines training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training dbt Cloud - Orchestrating Scalable Data Pipelines training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training dbt Cloud - Orchestrating Scalable Data Pipelines training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Master the advanced features of dbt Cloud for professional data pipelines

Develop complex and scalable data models in an enterprise environment

Implement orchestration and automated scheduling with dbt Cloud

Optimize data tests, governance, and certified CI/CD

Design dbt Cloud integrations with modern cloud tools

Deploy secure and high-performance production environments

Training program

Module 1dbt Cloud Architecture: Advanced Modeling and Environments (DAGs, macros, exposures)

Dive into dbt Cloud architecture with the creation of dev, staging, and prod environments, modeling complex DAGs via dbt_project.yml, developing custom macros for specific business transformations, practical exercises on real enterprise datasets, automatic documentation generation and exposures for optimal BI visibility, while validating incremental schemas to accelerate your data pipelines.

Module 2dbt Cloud Orchestration: Jobs, Scheduling, and Monitoring (triggers, alerts)

Configure dbt Cloud jobs to orchestrate selective runs and full refreshes, implement advanced scheduling with API triggers and webhooks, integrate real-time monitoring via dbt Cloud dashboards and Slack notifications, practice on concrete cases like scalable daily ETLs, analyze logs for rapid debugging, produce data freshness reports to ensure production reliability.

Module 3dbt Cloud Governance: Advanced Tests, CI/CD, and Security (dbt Semantic Layer)

Develop sophisticated data tests with singular, generic, and custom tests in dbt Cloud, automate CI/CD via integrated GitHub Actions, secure access with roles and RBAC, explore dbt Semantic Layer for unified business metrics, apply to red thread projects with pair programming code reviews, generate audit profiles for GDPR compliance, optimize enterprise-scale data quality.

Module 4dbt Cloud Integrations and Optimization: Production Performance and Scalability (Snowflake, Airflow)

Integrate dbt Cloud with Snowflake, BigQuery, and Airflow for advanced hybridization, optimize performance with ephemeral materializations and clustering, deploy to production with zero-downtime via blue-green deployments, measure ROI impact on cloud costs, complete a full capstone project with automated deployment, receive expert feedback and a post-training action plan for immediate enterprise ROI.