We use the concept of a feature store. We need the engine, and we use Feast as our feature store framework to build our feature store. We use the DuckDB engine as a data engine, which helps us move data from the offline feature store to the online feature store. The online feature store is part of the feature store where we serve our features to the operational environment. We have some daily processes, for example, where we update features in operational environments every hour. For this update, we use DuckDB to load data from Parquet to Redis.
Embedded Database solutions are designed for seamless integration within applications, providing lightweight and efficient data management capabilities. These databases are optimized for both performance and resource utilization, making them suitable for a variety of applications.Embedded Databases are increasingly gaining traction across industries due to their ability to efficiently manage data within an application's architecture. Users often appreciate how these databases require minimal...
We use the concept of a feature store. We need the engine, and we use Feast as our feature store framework to build our feature store. We use the DuckDB engine as a data engine, which helps us move data from the offline feature store to the online feature store. The online feature store is part of the feature store where we serve our features to the operational environment. We have some daily processes, for example, where we update features in operational environments every hour. For this update, we use DuckDB to load data from Parquet to Redis.