Batch Data Validation

via “batch system for data asset versioning and lineage”

Data quality validation framework with declarative expectations.

Unique: Implements a Batch abstraction that represents immutable data snapshots with metadata (creation time, partition key, data source), enabling per-partition validation and correlation of validation results with data lineage without requiring external data catalog integration

vs others: More lightweight than full data catalog systems (Collibra, Alation) because batches are managed within GX; more granular than dataset-level validation because batches enable partition-level quality tracking

via “batch-data-validation”

via “batch data transformation and cleaning”