In this tutorial, we walk through three practical options to import, connect, and ingest data into Oracle AI Data Platform. We demonstrate how to upload data into managed objects, register data in OCI Object Storage, and connect to external systems using built-in connectors or code-driven ingestion.
In this guide, you’ll learn how to:
- Import structured data by creating managed tables and uploading supported file formats directly into AIDP.
- Register structured data in OCI Object Storage by creating external tables and selecting the right compartment and bucket
- Import semi-structured and unstructured data using managed volumes (upload files/folders) or external volumes (register existing OCI Object Storage locations).
- Connect to Oracle sources using external catalogs and built-in connectors for supported Oracle Cloud data sources while keeping data in the source system.
- Use sample notebook templates for code-driven ingestion and adapt prerequisites and starter code for your own environment.
Choosing the right ingestion method helps you balance speed, governance, and where your data should live—so you can get to exploration and analytics faster.
Watch the full tutorial to see these methods in action, and refer to the AI Data Platform documentation for supported sources and sample code.
