Abstract: In some embodiments, a transaction request associated with a first transaction identifier may be obtained. A first database may be accessed to store a transaction entry in the first database based on the transaction request. A reversed key may be generated by reversing the first transaction identifier. A second database may be accessed to determine whether the second database comprises any records indexed by the reversed key. An aggregation record comprising the first value may be generated in the second database. In some embodiments, a second transaction identifier of an update message for the first database may be reversed to reconstruct the reversed key, and the second database may be searched with the reversed key to retrieve the aggregation record. The aggregation record may be updated based on the second value and sent to a destination after updating the aggregation record with the second value.

Abstract: In some embodiments, a transaction request associated with a first transaction identifier may be obtained. A first database may be accessed to store a transaction entry in the first database based on the transaction request. A reversed key may be generated by reversing the first transaction identifier. A second database may be accessed to determine whether the second database comprises any records indexed by the reversed key. An aggregation record comprising the first value may be generated in the second database. In some embodiments, a second transaction identifier of an update message for the first database may be reversed to reconstruct the reversed key, and the second database may be searched with the reversed key to retrieve the aggregation record. The aggregation record may be updated based on the second value and sent to a destination after updating the aggregation record with the second value.

Abstract: In some embodiments, a number of inputs for a machine learning model may be dynamically scaled based on a record update. In some embodiments, an account record may be obtained based on an obtained record update, and a first model may determine a category value based on the account record. A graph that includes a node mapping to the account record may be obtained. In some embodiments, a threshold may be selected based on the category value, and the graph may be traversed via a set of paths to select nodes of the graph, such that the paths are based on the threshold. Record values associated with the set of nodes may be provided to a second model to determine whether the record update satisfies a set of criteria. If so, the record update may be stored in an aggregated set of record updates.

Abstract: In some embodiments, a number of inputs for a machine learning model may be dynamically scaled based on a record update. In some embodiments, an account record may be obtained based on an obtained record update, and a first model may determine a category value based on the account record. A graph that includes a node mapping to the account record may be obtained. In some embodiments, a threshold may be selected based on the category value, and the graph may be traversed via a set of paths to select nodes of the graph, such that the paths are based on the threshold. Record values associated with the set of nodes may be provided to a second model to determine whether the record update satisfies a set of criteria. If so, the record update may be stored in an aggregated set of record updates.

Abstract: In some embodiments, a transaction request associated with a first transaction identifier may be obtained. A first database may be accessed to store a transaction entry in the first database based on the transaction request. A reversed key may be generated by reversing the first transaction identifier. A second database may be accessed to determine whether the second database comprises any records indexed by the reversed key. An aggregation record comprising the first value may be generated in the second database. In some embodiments, a second transaction identifier of an update message for the first database may be reversed to reconstruct the reversed key, and the second database may be searched with the reversed key to retrieve the aggregation record. The aggregation record may be updated based on the second value and sent to a destination after updating the aggregation record with the second value.