User interface for building an enhanced data orchestration enterprise service bus

A system for building an enhanced data orchestration (EDO) enterprise service bus, comprising:

• at least one processor;
• at least one non-transitory memory;
• a plurality of pre-trained machine learning (ML) models stored in the at least one non-transitory memory;
• a base enterprise service bus application stored in the at least one non-transitory memory;
• and
• an EDO builder application stored in the at least one non-transitory memory that when executed by the at least one processor:
• presents a visual interface that responds to drag and drop command inputs that build a sequence of data stream processes,
• presents a command input that when activated causes a properties dialog box to be presented that promotes a user defining data from a data stream to be passed in to a selected data stream process and defining data to be output by the selected data stream process, and
• builds an EDO enterprise service bus application based on the pre-trained ML models, based on the base enterprise service bus application, based on the drag and drop command inputs, and based on user definitions of data provided through the properties dialog box.

A method for building an enhanced data orchestration (EDO) enterprise service bus, comprising:

• presenting, by an EDO builder application stored in a non-transitory memory and executable by a processor, a visual interface;
• receiving, by the EDO builder application, drag and drop command inputs that build a sequence of data stream processes;
• presenting, by the EDO builder application, a command input that when activated causes a properties dialog box to be presented;
• receiving, by the EDO builder application, user inputted definitions via the properties dialog box defining data from a data stream to be passed in to a selected data stream process and defining data to be output by the selected data stream process;
• and
• building, by the EDO builder application, an EDO enterprise service bus application based on a plurality of pre-trained machine learning models stored in the non-transitory memory, based on a base enterprise service bus application stored in the non-transitory memory, based on the drag and drop command inputs, and based on the user inputted definitions of data provided through the properties dialog box.