Spark Expectations
JSON →Spark Expectations is a Python library by Nike-Inc that facilitates in-flight data quality (DQ) checks within Apache Spark jobs. It enables validation of data against defined rules (row-level, aggregate, and query-based) as data is processed, ensuring only quality data reaches its destination. Erroneous records are quarantined into a separate error table, and aggregated metrics are provided. The library is actively maintained with regular updates; the current version is 2.9.1.
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Resources
API endpoints
full doc /v1/registry/spark-expectations
compatibility /v1/registry/spark-expectations/compatibility