Use cases
Fraud classification
Predict best time to retry a failed payment
Detect illegal activity on the platform
Open source feast-spark-offline-store and move it into the feast project
Very custom solution
In house build package, in early versions Spark was supported but it became incompatible, hence the library.
Offline features are mainly aggregations over day ranges
A lot of internal ETL pipelines use PySpark
SparkOfflineStore as the interface to query existing feature tables, following BigQuery and Redshift template
