BeClaude

oracle-ai-data-platform-workbench-spark-connectors

New
Official PluginDevelopmentby Oracle

Oracle AI Data Platform Workbench Spark connectors for Claude Code. 18 connector skills covering every data source workbench customers commonly need: Oracle Autonomous DB family (ALH/ADW/ATP) via wallet/IAM-DB-Token/API-key, ExaCS, Fusion ERP REST, Fusion BICC, EPM Cloud Planning, Essbase 21c, OCI Streaming (Kafka), OCI Object Storage, Apache Iceberg, plus external systems (PostgreSQL, MySQL/HeatWave, SQL Server, Snowflake, Azure ADLS Gen2, AWS S3, generic REST, custom JDBC, Excel). Live-validated on the workbench `tpcds` cluster (Spark 3.5.0): 17 PASS / 4 ship-as-is out of 21 test rows.

First seen 5/22/2026

Summary

This skill provides 18 Spark connectors for Oracle AI Data Platform Workbench, covering Oracle Autonomous DB, ExaCS, Fusion ERP, EPM Cloud, Essbase, OCI Streaming, OCI Object Storage, Apache Iceberg, and external systems like PostgreSQL, MySQL, SQL Server, Snowflake, Azure ADLS Gen2, AWS S3, generic REST, custom JDBC, and Excel.

  • 0 cluster with 17 passing tests, streamlining data

Install & Usage

1
Create the skills directory
mkdir -p .claude/skills
2
Download the skill file

Add the configuration to .claude/skills/oracle-ai-data-platform-workbench-spark-connectors.md

3
Invoke in Claude Code
/oracle-ai-data-platform-workbench-spark-connectors

Use Cases

Connect to Oracle Autonomous Database using wallet, IAM DB token, or API key for secure data access.
Read and write data from OCI Object Storage or AWS S3 for cloud-native data pipelines.
Ingest streaming data from OCI Streaming (Kafka) for real-time analytics.
Query Fusion ERP REST or BICC endpoints to extract enterprise data for reporting.
Access external databases like PostgreSQL, MySQL, SQL Server, or Snowflake for cross-platform data integration.
Load and transform Excel files or custom JDBC sources for ad-hoc data analysis.

Usage Examples

1

/oracle-ai-data-platform-workbench-spark-connectors read from Oracle Autonomous Database using wallet file and run a SQL query

2

Use the OCI Object Storage connector to write a Spark DataFrame to a bucket in OCI

3

Connect to Snowflake via the Snowflake connector and perform a join with data from Oracle ADW

View source on GitHub
testingapi

Security Audits

LicenseUnknownSourcePassRepositoryPass

Frequently Asked Questions

What is oracle-ai-data-platform-workbench-spark-connectors?

This skill provides 18 Spark connectors for Oracle AI Data Platform Workbench, covering Oracle Autonomous DB, ExaCS, Fusion ERP, EPM Cloud, Essbase, OCI Streaming, OCI Object Storage, Apache Iceberg, and external systems like PostgreSQL, MySQL, SQL Server, Snowflake, Azure ADLS Gen2, AWS S3, generic REST, custom JDBC, and Excel. It enables developers to read and write data from these sources directly within Claude Code, validated on a Spark 3.5.0 cluster with 17 passing tests, streamlining data

How to install oracle-ai-data-platform-workbench-spark-connectors?

To install oracle-ai-data-platform-workbench-spark-connectors: create the skills directory (mkdir -p .claude/skills), then add the config to .claude/skills/oracle-ai-data-platform-workbench-spark-connectors.md. Finally, /oracle-ai-data-platform-workbench-spark-connectors in Claude Code.

What is oracle-ai-data-platform-workbench-spark-connectors best for?

oracle-ai-data-platform-workbench-spark-connectors is a skill categorized under Development. It is designed for: testing, api. Created by Oracle.

What can I use oracle-ai-data-platform-workbench-spark-connectors for?

oracle-ai-data-platform-workbench-spark-connectors is useful for: Connect to Oracle Autonomous Database using wallet, IAM DB token, or API key for secure data access.; Read and write data from OCI Object Storage or AWS S3 for cloud-native data pipelines.; Ingest streaming data from OCI Streaming (Kafka) for real-time analytics.; Query Fusion ERP REST or BICC endpoints to extract enterprise data for reporting.; Access external databases like PostgreSQL, MySQL, SQL Server, or Snowflake for cross-platform data integration.; Load and transform Excel files or custom JDBC sources for ad-hoc data analysis..