Methods and systems for discovering and classifying application assets and their relationships

Abstract

Various methods, apparatuses/systems, and media for implementing a data discovery module are disclosed. A repository includes one or more memories that stores application code for each application among a plurality of applications. A processor is operatively connected to the repository via a communication network. The processor scans the application source code for each application among the plurality of applications; identifies, in response to scanning, all technical assets and their relationships within each application; harvests technical metadata from the technical assets and their relationships to identify what information is used, stored, created, and moved by the application; implements machine learning algorithms to automatically assign descriptive and administrative metadata at a field level; loads the assigned descriptive and administrative metadata into an enterprise data catalog; and creates, in response to loading, a knowledge map, thereby providing a fine-grain level understanding of data within the technical assets.