System and method for universal mapping of structured, semi-structured, and unstructured data for application migration in integration processes

A computer implemented method of intelligent mapping of data between a first application and a second application for a business integration process comprising:

• executing code instructions, via a processor, modelling the business integration process having linked integration process visual elements including a data mapping type visual element via a graphical user interface (GUI);
• executing code of universal data type mapping pipeline system for the data mapping type visual element to classify received first application input data via a classifier module including a machine learning classifier to determine the one or more data classifications in the first application input data from at least structured data, unstructured data, or semi-structured data;
• select, via an inference module of the universal data type mapping pipeline, among a plurality of neural network mapping algorithms corresponding to each of the one or more data classifications determined to be in the first application input data;
• generate, with the selected neural network mapping algorithm, a plurality of sample data mappings to the second application in the business integration process;
• and
• display the plurality of sample data mappings between the first application and the second application to a user via the GUI for the data mapping type visual element.

An information handling system operating an integration application management system with a universal data mapping pipeline system comprising:

• a processor executing code instructions of integration application management system for modelling, via a graphical user interface (GUI), a business integration process including a data mapping type visual element;
• the processor executing code of the universal data type mapping pipeline system for the data mapping type visual element to:
• classify first application input data via a classification module having a machine learning classifier to determine the one or more data classifications in the first application input data from data classification including structured data, unstructured data, or semi-structured data;
• select, via an inference module, among a plurality of neural network mapping algorithms corresponding to each of the one or more data classifications determined to be in the first application input data;
• generate, with the selected neural network mapping algorithm, a plurality of sample data mappings to a second application in the business integration process;
• and
• the processor presenting the plurality of sample data mappings between the first application and the second application to a user via the GUI for the data mapping type visual element.