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The analytics engineering workflow
With dbt, data teams work directly within the warehouse to produce trusted datasets for reporting, ML modeling, and operational workflows.
- 1. Develop models Write your business logic as plain old SQL files.
- 2. Compile your project dbt infers the dependencies in your data models, and builds a DAG for you.
- 3. Build tables + views When you run dbt, your business logic builds as tables or views in your data warehouse.
Data Models
Models
Salesforce
Snowplow
Stripe
stg_customers
stg_invoices
stg_subscriptions
Found 4 models
[]
1 of 3 OK created stg_customers
[success]
2 of 3 OK created stg_invoices
[success]
3 of 3 OK created stg_subscriptions
[success]
4 of 4 OK created fct_subscription_transactions
[success]
Completed successfully
[]
