ETL Data Pipeline

Data

Extract from API with retry → transform and clean → validate schema → load to database. With fallback to cached data on failure.

apiclidb
Why OSOP matters here

Data pipelines fail silently. OSOP records exactly which API calls were made, which transformations ran, and where failures occurred. When data quality issues surface weeks later, you have the history.

Workflow Steps (4)

1
Extract from API
api
2
Transform & Clean
cli
3
Schema Validation
system
4
Load to Database
db

Connections (4)

Extract from API→Transform & Cleansequential
Transform & Clean→Schema Validationsequential
Schema Validation→Load to Databaseconditionalvalidation.passed == true
Extract from API→Transform & CleanfallbackUse cached data on API failure
4
Steps
4
Connections
4
Node Types
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