Managing knowledge fashions at scale is a standard problem for knowledge groups utilizing dbt (data build tool). Initially, groups typically begin with easy fashions which might be straightforward to handle and deploy. Nevertheless, because the quantity of knowledge grows and enterprise wants evolve, the complexity of those fashions will increase.
This development typically results in a monolithic repository the place all dependencies are intertwined, making it tough for various groups to collaborate effectively. To deal with this, knowledge groups might discover it helpful to distribute their knowledge fashions throughout a number of dbt initiatives. This strategy not solely promotes higher organisation and modularity but additionally enhances the scalability and maintainability of your complete knowledge infrastructure.
One vital complexity launched by dealing with a number of dbt initiatives is the best way they’re executed and deployed. Managing library dependencies turns into a crucial concern, particularly when totally different initiatives require totally different variations of dbt. Whereas dbt Cloud affords a sturdy resolution for scheduling and executing multi-repo dbt initiatives, it comes with vital investments that not each organisation can afford or discover…
