Data build tool
| data build tool (dbt) | |
|---|---|
| Developer(s) | Fishtown Analytics |
| Initial release | [1] |
| Stable release | 0.19.2
/ June 29, 2021 |
| Repository | |
| Written in | Python |
| Operating system | Microsoft Windows, macOS, Linux |
| Available in | SQL, Python |
| Type | Data analytics, algorithms |
| License | Apache License 2.0 |
| Website | docs |
data build tool (dbt) is an open-source command line tool that helps analysts and engineers transform data in their warehouse more effectively analytics engine for data transformations.
Overview
dbt enables analytics engineers to transform data in their warehouses by simply writing select statements. dbt handles turning these select statements into tables and views.
dbt does the `T` in `ELT` (Extract, Load, Transform) processes – it doesn’t extract or load data, but it’s extremely good at transforming data that’s already loaded into your warehouse.
The role of dbt within a modern data stack is discussed in more detail [here](https://blog.fishtownanalytics.com/what-exactly-is-dbt-47ba57309068).
dbt also enables analysts to work more like software engineers, in line with the dbt [Viewpoint](viewpoint).
Developers
dbt-Labs[1] (previously Fishtown Analytics) announced that it raised $150M in Series C financing. With this raise, the team will speed the development of dbt, its open-source analytics engineering tool. The round was co-led by Altimeter, Sequoia Capital, and Andreessen Horowitz with participation from Amplify Partners. Sequoia Capital, Andreessen Horowitz, and Amplify Partners are all existing investors. No new board members are joining the team.
Notes
References
- ^ "Fishtown Analytics Rebrands as dbt Labs; Closes $150M to Develop Open-Source Analytics Engineering Software". apache.org. 2021-06-30. Retrieved 2021-07-03.
dbt Labs (previously Fishtown Analytics) announced that it raised $150M in Series C financing
