📖 Advaita Data Bridge (ETL)¶

The landing page of Advaita Data Bridge — giving users a real-time snapshot of their ETL environment including pipelines, jobs, connections, and system status for monitoring data movement.

The core schema management layer — allowing users to define, organize, and manage MongoDB dataset structures that act as the foundation for all data pipelines, jobs, and connections in the system.

A dedicated page for tracking and monitoring the status of dataset uploads — showing successful, failed, or processing uploads with the uploader's identity and timestamp for full audit traceability.

The module where users build, run, and manage ETL data pipelines — defining how data flows from a source connection to a destination, with monitoring, scheduling, and execution controls.

A monitoring page for tracking the status of data pipeline runs — showing succeeded, failed, or running executions with detailed job information for troubleshooting and investigation.