[ Tech stack ]
dbt
The SQL framework that turns a data warehouse into a software product.
dbt (data build tool) brings software-development best practices to analytics: testing, versioning, modularity, lineage. Paired with BigQuery, Snowflake, Redshift or Databricks, it has become the standard for modern analytical transformation.
[ Why dbt at Dexon ]
What this technology does well,
and why we use it.
Typical usage: Modern data warehouse, analytics engineering, governed BI.
- 01
SQL modelling versioned in Git, automatically tested.
- 02
Explicit, navigable transformation lineage.
- 03
Reusable macros, packages, materialised models.
- 04
Native CI/CD integration: industrialised analytics deployment.
[ Complementary technologies ]
The building blocks we often
mobilise alongside.
A stack rarely exists alone. Here are the technologies Dexon most often pairs with this one, through pipeline habits, usage similarity or internal mastery. Click on a brick to see its scope.
[ Reassurance ]
- 0+
- custom projects delivered
- 30
- engineers, designers, project managers
- 80 %
- from top French schools
- 24 h
- average reply time
[ Our AI stance ]
AI-augmented approach,
supervised by experts.
We use artificial intelligence as a lever for acceleration and optimisation within our technical processes, while keeping strong human oversight on every strategic phase of the project.
AI improves productivity. It does not replace:
- field experience
- architectural expertise
- understanding business stakes
- technical governance
- complex trade-offs
- cybersecurity
- operational accountability
Our teams act as a layer of validation, quality control, security hardening and steering, to ensure reliable, scalable deliverables that can operate in real-world environments.