Data pipeline quality stages
Three common stages of a data pipeline:
– Ingestion into data lake. Curating data.
– Pushing into data warehouse, model data.
– Pull data from warehouse and build analytical models.
Can differ according to use case.
Data quality checks should happen before entering and within each stage.