When to use data checkpoint
Create a checkpoint when downstream models are sensitive to missing or malformed records.
A practical example of data checkpoint
For example, after nightly ETL, a script validates that all required columns are present and that row counts match source expectations.
How it applies to Ideoreto
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Key takeaways
- Run schema validation against the expected field list.
- Compare record counts with the source system for parity.