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Is your feature request related to a problem? Please describe.
Each feast offline store has to more or less reimplement the same data transformation logic (mainly point-in-time join) in their respective technologies. It's hard to ensure feature parity.
It's next to impossible to properly incorporate ODFV logic into offline store operations.
Describe the solution you'd like
Implement abstract offline store with ibis that other feature stores can extend and customize. Ibis is a lightweight python library that offers a universal dataframe API with pluggable query engine backends. As of now it can interface with 15+ engines with varying level of API coverage, including BigQuery, Snowflake, Pyspark, PosgreSQL, Trino and others.
ibis-based offline stores should be able to turn Substrait-based on demand feature view transformations into ibis expressions and execute them right alongside core offline store logic in one go.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
Describe the solution you'd like
The text was updated successfully, but these errors were encountered: