UTILIZING NEURAL NETWORK AND MACHINE LEARNING MODELS TO GENERATE A QUERY AFTER MIGRATING DATA FROM A SOURCE DATA STRUCTURE TO A TARGET DATA STRUCTURE

摘要

A device may receive source code from a source data structure, and may receive information associated with a target data structure. The device may analyze the source code to extract statements, and may utilize natural language processing on the statements to identify functions and keywords associated with the source data structure. The device may train a machine learning model with the functions and the keywords to generate a trained machine learning model, and may process the information associated with the target data structure, with the trained machine learning model, to transform a source query to a target query compatible with the target data structure. The device may process the target query, with a neural network model, to generate an optimized target query, and may cause data from the source data structure to be migrated to the target data structure based on the optimized target query.