This diagram shows multiple data paths for converting data from multiple sources through components in an Oracle Cloud Infrastructure region to usable insights for data consumers.
A linear sequence of steps spans the diagram:
- Analyze, learn, and predict
- Measure and act
The following components apply to the entire Oracle Cloud Infrastructure region:
- Security, Identity, and Access Management
- Discovery Lab and Sandbox
The region is divided into functional layers that house physical or functional components:
- Data Sources layer: Data sources include Enterprise data, Application data and Departmental Spreadsheets. Data can follow a number of paths:
- Data moves directly into batch processing in the Data Refinery layer using database tools provided by Oracle Autonomous Data Warehouse.
- Data moves into batch processing in the Data Refinery layer using Oracle Cloud Infrastructure Data Integration for complex ETL scenarios.
- Data moves into object storage. From there it can undergo batch processing or move directly to Oracle Autonomous Data Warehouse.
Data Refinery layer: A block labeled Batch Processing (Autonomous DB Tools) handles input data from applications. Data from this block moves to a block labeled Serving (Autonomous Data Warehouse) in the Data Persistence Platform layer. This combined functionality is provided by Autonomous Data Warehouse. Data from other sources including data staged in cloud storage in the Data Persistence Platform layer optionally moves to batch processing in the Data Refinery layer using either Autonomous Database Tools or Oracle Cloud Infrastructure Data Integration.
Data Persistence Platform layer: Data moves into Oracle Autonomous Data Warehouse whether directly from object storage or after processing using Autonomous Database Tools or Oracle Cloud Infrastructure Data Integration.
Access and Interpretation layer: Data moves into Oracle Analytics Cloud and then on to data consumers.