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## Description
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The Snowflake offline store provides support for reading [SnowflakeSources](../data-sources/snowflake.md).
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The [Snowflake](https://trial.snowflake.com) offline store provides support for reading [SnowflakeSources](../data-sources/snowflake.md).
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* Snowflake tables and views are allowed as sources.
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* All joins happen within Snowflake.
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* This allows you to call
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*`to_snowflake` to save the dataset into Snowflake
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*`to_sql` to get the SQL query that would execute on `to_df`
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*`to_arrow_chunks` to get the result in batches ([Snowflake python connector docs](https://docs.snowflake.com/en/user-guide/python-connector-api.html#get_result_batches))
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*`to_arrow_chunks` to get the result in batches ([Snowflake python connector docs](https://docs.snowflake.com/en/user-guide/python-connector-api.html#get_result_batches))
The [Snowflake](https://trial.snowflake.com) online store provides support for materializing feature values into a Snowflake Transient Table for serving online features.
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* Only the latest feature values are persisted
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The data model for using a Snowflake Transient Table as an online store follows a tall format (one row per feature)):
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* "entity_feature_key" (BINARY) -- unique key used when reading specific feature_view x entity combination
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* "entity_key" (BINARY) -- repeated key currently unused for reading entity_combination
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* "feature_name" (VARCHAR)
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* "value" (BINARY)
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* "event_ts" (TIMESTAMP)
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* "created_ts" (TIMESTAMP)
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(This model may be subject to change when Snowflake Hybrid Tables are released)
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