Understanding the Master Catalog, workspaces, and compute resources in Oracle AI Data Platform helps teams organize data, manage development environments, and run analytics and AI workloads efficiently. This tutorial shows how these core platform components work together to support data science, machine learning, and AI development workflows. Explore additional training and benefits at the resources linked below.
This tutorial introduces three foundational components of Oracle AI Data Platform: the Master Catalog, the default workspace, and compute resources. The walkthrough begins with the Master Catalog, where data assets, metadata, schemas, and model resources are organized and managed. It demonstrates how to navigate the default catalog, review available schemas, and explore OCI Generative AI models that are available based on account permissions. The tutorial also highlights model details and code samples that can be used within notebook-based workflows using SQL and PySpark.
Next, the tutorial examines the default workspace, a secure and isolated environment that is automatically created when an Oracle AI Data Platform instance is provisioned. It shows how workspaces provide a consistent starting point for projects while organizing notebooks, workflows, files, and compute resources. The walkthrough also explains how separate workspaces can be created to isolate resources between teams and how permissions can be managed to control access and actions.
Finally, the tutorial explores compute resources, including the default compute cluster used for platform operations and all-purpose compute clusters used to run notebooks and workflows. It reviews configuration options, OCPU scaling, monitoring metrics, event logs, and permissions that help support workload execution and administration. By understanding how these components work together, data professionals can build a stronger foundation for analytics, machine learning, and AI development in Oracle AI Data Platform.
Find training paths for Oracle Analytics and AI from beginner to advanced and expert: https://social.ora.cl/6009B87ZEZ
Learn how to set up a robust and scalable data foundation with Oracle AI Data Platform Workbench in our self-paced Analytics and AI Learning Hub course: https://social.ora.cl/6001B87Z1t
Explore self-paced short courses in the Oracle Analytics and AI Learning Hub: https://social.ora.cl/6009B87ZG5
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See how to use and understand the master catalog: https://social.ora.cl/6004B87Zy8
Explore more information on workspaces: https://social.ora.cl/6001B87ZyW
Read through more details on the use of computing resources: https://social.ora.cl/6006B87ZJM
00:00 Introduction to Core AIDP Components
00:29 Explore the Master Catalog
00:49 Review Catalog Schemas and AI Models
01:05 Pre-trained OCI GenAI Models
01:23 Default Workspace
02:01 Create and Manage Workspaces
02:28 Compute Resources
03:01 Review Compute Configuration and Monitoring
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