Predict

Predict's architecture comprises several key components designed to ensure efficient metadata management. The Metadata Repository is the central storage location for all metadata definitions. The Data Dictionary Manager provides the interface for creating, modifying, and deleting metadata entries.

The Data Access component handles interactions with underlying databases, allowing Predict to retrieve and update data definitions. The Reporting Engine generates reports on metadata, data lineage, and impact analysis. The system uses a layered architecture, with a presentation layer for user interaction, a business logic layer for processing requests, and a data access layer for interacting with the Metadata Repository and databases.

Communication between components is typically handled through internal APIs and data exchange protocols. The Metadata Repository can be implemented using various storage mechanisms, depending on the specific deployment. Network requirements include connectivity to the databases being managed and access to the Predict server.

The system supports various ports for communication, including those used for database connections and API access. The architecture is designed to be scalable and adaptable to different data environments.