Data Engineering & StreamingShivacha AI
dbt at Shivacha
SQL-based transformation framework for analytics engineering.
Overview
dbt transforms data in the warehouse with version-controlled SQL, tests and documentation. We use it to build reliable, documented analytics models.
Why we use it
- Version-controlled SQL
- Built-in testing
- Documentation and lineage
- Warehouse-native
How we use it
dbt in our engineering work
Analytics models
Warehouse layers.
Metrics
Consistent definitions.
Data quality
Automated tests.
Products
Products built with dbt
Pairs well with
What we combine with dbt
Pipelines, streaming, warehousing and real-time analytics.
Build with dbt.
Tell us about your project, or the engineers you need, and we will propose an approach.