Database management systems using distributed database update management operations

A system comprising one or more processors and at least one memory storing processor executable instructions that, when executed by the one or more processors, cause the one or more processors to:

• identify a plurality of database field values for a database entity of a database, wherein a database field value of the plurality of database field values comprises one or more field value feature values;
• input, to a trained machine learning model, the one or more field value feature values associated with the database field value, wherein the trained machine learning model is configured to process the one or more field value feature values for the database field value to generate an update utility measure for the database field value;
• obtain, from the trained machine learning model, the update utility measure for the database field value;
• include the database field value in an update-eligible field value subset of the plurality of database field values when the update utility measure of the database field value satisfies a utility measure threshold;
• determine a total update utility measure for the database entity based at least in part on the update-eligible field value subset;
• determine an update region for the database entity, wherein the update region is associated with a plurality of database update agent profiles;
• execute a plurality of distributed database update routines, wherein:
• (i) each distributed database update routine of the plurality of distributed database update routines is associated with a corresponding database update agent profile in the plurality of database update agent profiles and is configured to transmit a database validation query to an agent computing entity associated with the corresponding database update agent profile, (ii) each database validation query comprises a plurality of database validation sub-queries each describing a field value validation request for the database field value in the update-eligible field value subset, and (iii) each database validation query describes the total update utility measure for the database entity;
• subsequent to executing the plurality of distributed database update routines, receive one or more database validation responses, wherein the one or more database validation responses are received from one or more agent computing entities associated with respective ones of the plurality of database update agent profiles;
• for one or more database field values in the update-eligible field value subset, determine a field value validity score based at least in part on a number of value confirmations within the one or more database validation responses;
• and
• perform one or more of a database retrieval, modification, or configuration operation on the database based at least in part on the field value validity score.

One or more non-transitory computer-readable storage media including instructions that, when executed by one or more processors, cause the one or more processors to:

• identify a plurality of database field values for a database entity of a database, wherein a database field value of the plurality of database field values comprises one or more field value feature values;
• input, to a trained machine learning model, the one or more field value feature values associated with the database field value, wherein the trained machine learning model is configured to process the one or more field value feature values for the database field value to generate an update utility measure for the database field value;
• obtain, from the trained machine learning model, the update utility measure for the database field value;
• include the database field value in an update-eligible field value subset of the plurality of database field values when the update utility measure of the database field value satisfies a utility measure threshold;
• determine a total update utility measure for the database entity based at least in part on the update-eligible field value subset;
• determine an update region for the database entity, where the update region is associated with a plurality of database update agent profiles;
• execute a plurality of distributed database update routines, wherein:
• (i) each distributed database update routine of the plurality of distributed database update routines is associated with a corresponding database update agent profile in the plurality of database update agent profiles and is configured to transmit a database validation query to an agent computing entity associated with the corresponding database update agent profile, (ii) each database validation query comprises a plurality of database validation sub-queries each describing a field value validation request for the database field value in the update-eligible field value subset, and (iii) each database validation query describes the total update utility measure for the database entity;
• subsequent to executing the plurality of distributed database update routines, receive one or more database validation responses, wherein the one or more database validation responses are received from one or more agent computing entities associated with respective ones of the plurality of database update agent profiles;
• for one or more database field values in the update-eligible field value subset, determine a field value validity score based at least in part on a number of value confirmations within the one or more database validation responses;
• and
• perform one or more of a database retrieval, modification, or configuration operation on the database based at least in part on the field value validity score.