Oracle AI Data Platform Workbench Spark Connectors

Oracle AI Data Platform Workbench Samples

This repository contains a curated collection of sample notebooks demonstrating how to build data pipelines, run machine learning workloads, and integrate AI capabilities using Oracle AI Data Platform (AIDP) Workbench — a unified, governed workspace for data engineering, ML, and AI development powered by Apache Spark.

What is Oracle AI Data Platform Workbench?

Oracle AI Data Platform Workbench is a unified, governed workspace for building, managing, and deploying AI and data-driven solutions. It brings together notebooks, agent development, orchestration, and catalog management in a single collaborative platform — empowering teams to explore data, fine-tune models, and operationalize AI with trust and speed.

Learn more about AIDP Workbench →

Repository Structure

oracle-aidp-samples/
├── getting-started/          # Foundational notebooks for new users
│   ├── Delta_Lake/           # Delta Lake feature walkthroughs
│   └── migration/            # Migrating workloads to AIDP
├── data-engineering/
│   ├── ingestion/            # Connectors and data loading patterns
│   └── transformation/       # Pipeline architectures and table formats
│       ├── liquid-clustering/
│       ├── medallion-lake/
│       ├── scd/
│       └── streaming/
├── ai/
│   ├── agent-hub/            # Agent Hub code-first agent samples
│   │   └── agent-samples/
│   ├── agent-flows/          # Agent orchestration and scheduling
│   ├── ml-datascience/       # ML, LLM, and AI service integrations
│   └── skills/               # Agent Skills (SKILL.md packages) by product domain
│       └── analytics/        # Oracle Analytics skills
└── shared-utils/             # Reusable utilities and data generators

Sample Catalog

Getting Started

Foundational examples to help you get up and running on AIDP Workbench.