Easily bring structured, semi-structured, and unstructured data into Oracle AI Data Platform Workbench for robust, enterprise-scale analytics. Learn how built-in catalogs, connectors, and code-driven ingestion simplify data integration and accelerate analysis.
This tutorial demonstrates three practical ways to import and organize data in Oracle AI Data Platform Workbench: uploading files through managed and external tables, managing semi-structured and unstructured data with volumes, and connecting to Oracle Cloud sources and external systems using external catalogs and built-in connectors. See how you can register metadata, navigate catalog schemas, and keep your data organized—whether you are importing from your local machine or linking to an OCI Object Storage bucket. Preview code-driven ingestion using sample notebook templates and get step-by-step guidance for connecting internal and external data sources. With Oracle AI Data Platform Workbench, you can build a flexible and scalable data foundation to power advanced analytics and AI workflows across your enterprise. For more self-paced learning, explore Oracle’s Analytics and AI Learning Hub and find additional resources in the links below.
Easily bring structured, semi-structured, and unstructured data into Oracle AI Data Platform Workbench for robust, enterprise-scale analytics. Learn how built-in catalogs, connectors, and code-driven ingestion simplify data integration and accelerate analysis.
This tutorial demonstrates three practical ways to import and organize data in Oracle AI Data Platform Workbench: uploading files through managed and external tables, managing semi-structured and unstructured data with volumes, and connecting to Oracle Cloud sources and external systems using external catalogs and built-in connectors. See how you can register metadata, navigate catalog schemas, and keep your data organized—whether you are importing from your local machine or linking to an OCI Object Storage bucket. Preview code-driven ingestion using sample notebook templates and get step-by-step guidance for connecting internal and external data sources. With Oracle AI Data Platform Workbench, you can build a flexible and scalable data foundation to power advanced analytics and AI workflows across your enterprise. For more self-paced learning, explore Oracle’s Analytics and AI Learning Hub and find additional resources in the links below.
0:00-2:17 Import structured, semi-structured and unstructured data
2:17-3:17 Connect to Oracle built-in connectors
3:17-4:10 Code-driven data ingestion
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