You've decided to implement dbt in your organisation - what next?
In this video we show how easy it is to move from proof of concept to production, by connecting your git repository to Orchestra and using the Orchstra pipeline builder to build and run an end-to-end data pipeline with dbt Core in the middle.
Not only does this save time for data engineers and platform engineers setting-up and maintaining infrastructure for running dbt Core, but it also gives a lot of standard, hand-rolled features out the box like
- Granular, model and test level alerts
- Automatically flattening dbt Core artifacts
- Dashboards and metadata for identifying trends over time and model bottlenecks
- Correlating dbt Metadata with warehouse metadata e.g. rows changed, Snowflake credits etc.
- A feature-complete Orchestrator (so you can stop being bottlenecked by the platform team)
Check out the docs: docs.getorchestra.io/docs/integrations/transformation/dbt-core%E2%84%A2/
Try it here: app.getorchestra.io/signup
View Pricing: getorchestra.io/pricing
Read the full announcement: www.getorchestra.io/blog/introducing-orchestra-dbt-core-tm-lightweight-dbt-core-transformations