This diagram shows multiple data paths to identify connections in data and perform graph analytics using Oracle Autonomous Database. A linear sequence of steps spans the diagram:
  1. Discover
  2. Ingest
  3. Transform
  4. Curate
  5. Analyze, Predict & Measure
  6. Measure & Act
The following components apply to the entire Oracle Cloud Infrastructure region:
  • Governance (Data Catalog)
  • Governance
  • Security, Identity, and Access Management
The region is divided into functional layers that house physical or functional components:
  • Data Sources layer: Data sources include Enterprise, Applications, and Departmental.
  • Data Refinery layer: Three blocks labeled Batch Processing (Autonomous Database Tools), Batch Processing (Oracle Cloud Data Integration), and Cloud Storage (Object Storage) handle input data from enterprise, applications, and departmental.
  • Data Persistence Platform layer: A block labeled Serving (Autonomous Data Warehouse) handles input data from Batch Processing (Autonomous Database Tools), Batch Processing (Oracle Cloud Data Integration), and Cloud Storage (Object Storage).
  • Access and Interpretation layer: Data moves to a block labeled Model, Analyze, and Visualize Graphics (Graph Studio) and then on to data consumers.