Capital One Services, LLC

Anand Annamalai

Mohamed Seck

Krystan R Franzen

Kadhiresan Kanniyappan

Abel Fletcher

Nikitha Kondapally

Pavlo Savchuk

Chris Gallucci

Prerna Kandhari

Gayatri Vishnubhotla

Yasaswy Ravala

In some implementations, a device may cause execution of a batch processing job. The batch processing job may be associated with an application and at least one user. The device may determine that execution of the batch processing job is associated with one or more execution errors. The device may determine, based on the one or more execution errors, an error remediation action for the batch processing job. The device may cause performance of the error remediation action for the batch processing job.

Batch processing and error resolution management

A method for query optimization may include capturing a proposed database query input into a user interface. The method may further include providing the proposed database query to a machine-learning model. The machine-learning model may have been trained, using one or more gathered and/or simulated sets of query execution overhead data and one or more gathered and/or simulated sets of database queries, to determine a potential execution overhead of a database query and output a query execution score. The method may further include outputting, by the machine-learning model, the query execution score based on the proposed database query. The method may further include determining that the query execution score exceeds a query execution score threshold. The method may further include triggering a corrective action based on the query execution score exceeding the query execution score threshold.

Systems and methods for query optimization

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Glen Allen, VA, United States of America

Anand Annamalai