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DBT technologie

DBT

dbt is a data transformation workflow that gets more work done while producing higher quality results. It is used to modularize and centralize analysis code, while providing your data team with safeguards typically found in software engineering workflows.

Category

embedeed technologies

Applications

ModelizationPreparationVisualization

Contexts

1.3

Stable

1.4

Stable

Saagie et dbt

The integration of DBT within Saagie’s DataOps platform offers a series of key benefits. Firstly, DBT facilitates data transformation by providing an environment where Data Engineers and Data Scientists can build, test and deploy transformations directly into data pipelines.

What’s more, this integration enables seamless management of operations within the Saagie platform, guaranteeing data quality and consistency throughout the process.

datatask.io/blog/concept-dbt-et-premier-modele-datatask/

By leveraging the combination of DBT and Saagie, teams are able to accelerate the development process of data projects, strengthening cooperation between data and development teams, while ensuring more efficient and iterative maintenance of data flows.