This diagram shows how data is exported from a variety of sources, ingested using Informatica IDMC and imported data into an Oracle Autonomous Database to be consumed by either analytics or data science processes.

The following components apply to the entire Oracle Cloud Infrastructure region:

• Governance (Informatica IDMC Data Governance and Catalog
• Infrastructure, Network, Security, Identity, and Access Management (IAM)

The region is divided into functional layers that house physical or functional components:

• Data Sources layer: Data sources can and will be anything. Those shown include, end users, devices, enterprise applications, any digital asset, events, sensors, and machine learning (ML) models.

• Ingest, Transform layer: A block labeled Batch Ingestion (Informatica IDMC Data Integration) handles data that is ingested and transformed in real time. Raw data first enters a block labeled Cloud Storage (Object Storage) before passing to the Batch Ingestion block.

• Persist, Curate, Create layer: Data moves into a block labeled Serving Data Store (Autonomous Data Warehouse). Refined data moves into a block labeled Data Quality (IDMC Data Quality) and form there into a block labeled Cloud Storage (Object Storage). Metadata is harvested from both block storage and Autonomous Data Warehouse and flows into the block representing Informatica IDMC Governance.

• Analyze, Learn, Predict layer: Refined application data moves into block labeled Data Products, APIs (API Gateway, Oracle Integration Cloud, Functions) and from there into the Measure, Act layer. The data also moves directly into the Measure, Act layer.

• Measure, Act layer: The data is passed on to data consumers, including people and partners, applications, and things (devices).