Oracle Unity Data Platform

Ingesting Data

👤 Oracle System Administrator Gavin — manages job configurations and data source connections

Core Tasks:

Design an ingest job object

Create source instances (SFTP, S3, Object Store)

Map external data to OUDD tables

Run publish job to commit data

          Goal: Source data gets into the OUDD data warehouse via design-time configuration that becomes run-time ingest jobs.
        

Mastering Data

👤 Customer Instance Administrator Configures and manages data quality and enrichment

👤 Power Users & API Developers Consume and build on mastered data

Operations:

Unify, augment, and promote data

Run Analytics Engine jobs

Analytics Engines:

Relationship Builder — Identifies related records

Data Augmentation — Enriches data attributes

Master Promotion — Publishes golden records

          Goal: Raw ingested data becomes clean, unified, and enriched through mastering processes.
        

Using & Exploring Data

👤 360 Client Users Enterprise data consumers

👤 Basic Data Explorers Ad-hoc query and reporting users

Actions:

Create sink instances for data export

Generate UI widgets and adhoc queries

Export data for downstream systems

Capabilities:

OUDD Queries (JSON-based)

Reporting on mastered data

OUDD 360 View (ID Graph)

CSV file exports

          Goal: Mastered data is now discoverable, queryable, and available for reporting and business analytics.
        

Extract & Load

Raw data ingested from sources

Transform & Enrich

Data unified and augmented

Activate & Serve

Data available for consumption

🎯 Strategic Value

The Admin UI (Job Configs, Source Instance Management, Column Mapping) is the critical first step that enables the entire platform. Without Gavin's ability to efficiently ingest and configure data, downstream mastering and exploration use cases cannot succeed.