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oracle-ai-data-platform-workbench-spark-connectors Claude Code Plugin

Author
Oracle
Category
Development
Topics
Data Engineering & Analytics · Databases & Storage · Enterprise Business Platforms
First cataloged
2026-07-09 (UTC)
Explanation last updated
2026-09-03 (UTC)
Source (GitHub) last updated
2026-08-23 (UTC) (13 days ago)

The explanation below is AI-generated. Please verify it against the sources.

This plugin provides a collection of Claude Code skills that let Spark notebooks inside Oracle AI Data Platform Workbench connect to many different data sources. According to the README, it bundles roughly two dozen connector skills covering Oracle database services, Fusion applications, EPM Cloud and Essbase, OCI streaming and storage, several external relational databases, a couple of SaaS platforms, and other cloud storage providers, along with a one-time setup skill. Each skill generates plain Python code that uses Spark JDBC, Spark structured streaming, or a REST-to-DataFrame pattern, meant to be pasted directly into a notebook cell without needing extra runtime components. The README states that the connectors were exercised against a live test cluster in the workbench, with most test rows passing and a handful marked as usable without further validation. It also documents that certain OCI authentication methods are not currently supported in the workbench and directs users toward an alternative authentication approach instead.

About the service

Oracle AI Data Platform Workbench is a cloud service, described on its homepage as helping organizations catalog, ingest, and analyze data. The homepage states that it supplies the platform and framework for building data analytics pipelines, including notebook-based development, workflow management, AI agent creation, and machine learning experimentation.

What you can do with oracle-ai-data-platform-workbench-spark-connectors

  • Connect notebooks to the Oracle Autonomous Database family using wallet, IAM token, or API key authentication
  • Pull data from Fusion ERP/HCM/SCM, Fusion BICC extracts, EPM Cloud Planning, and Essbase through REST-based calls
  • Read and write OCI Streaming, OCI Object Storage, and Apache Iceberg tables from Spark
  • Reach external databases including PostgreSQL, MySQL/HeatWave, SQL Server, DB2, and Hive
  • Access Salesforce and NetSuite in read-only mode, plus Snowflake, Azure ADLS Gen2, and AWS S3
  • Handle generic REST endpoints, custom JDBC drivers, and Excel files without added dependencies
  • Run a one-time bootstrap step that installs helper code into the workbench workspace

Sources

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