Back to companies
dbt
A command line tool that enables data analysts and engineers to transform data in their warehouses more effectively.
Teams
dbt
caters to:
Data
Operations
What need does
dbt
fulfill?
dbt (data build tool) simplifies the workflow for transforming raw data into data models consumable for analytics.
dbt makes it easy and fast for data teams to write, test, and orchestrate data pipelines. Transformations are written as templated SQL select statements and automatically orchestrated with a CLI tool. And because one only needs SQL to start with dbt, non-engineers can adopt this superpower too.
Importantly, dbt often enables data analysts to build their own analytical assets and intuitively introduces to them good software development practices (like abstraction and testing).
What are the core features of
dbt
?
- Compiles SQL select statements into context-specific DDL
- Generates and orchestrates DAGs and offers a powerful, but simple, testing framework
- Jinja templating and macros for SQL
- Clear configuration with YAML
- Extensible package system for modular code
What are the benefits of using
dbt
?
- Write pipelines as quickly as writing SQL queries
- Automate tests for data as easily as querying with SQL
- Automate your DAG generation and orchestration
- Write DRY and more flexible SQL
- Centralize where you document and configure data
- Modularity, including community packages for common uses
Visit Website
This profile has been created by Data Beats.
If you represent
dbt
, claim this profile to verify it.
