1Overview of the Data Extraction Tool

The Data Extraction tool enables you to extract application data for reporting and integration purposes.

You can extract application data from a read-optimized data store. Extraction runs on a replicated Oracle Autonomous AI Lakehouse instance that’s synchronized with transactional data.

By leveraging Oracle’s architecture, which abstracts business objects from the physical Fusion Applications data model, this approach helps reduce load on the transactional instance.

The tool supports extracting data based on predefined business objects and views. You can configure extracts to retrieve the required data and process it for downstream use.

How to Use This Playbook

This playbook provides an end-to-end workflow for extracting data using the Data Extraction tool.

Follow these steps in sequence:

1. Create and Configure Data Extracts

   Define the data you want to extract by creating extract definitions and grouping them based on your requirements.

2. Run and Monitor Extract Jobs

   Schedule and run extract jobs, monitor their execution, and verify that the output meets your requirements.

3. Access and Download Extract Output

   Retrieve the generated output files and download the extracted data.

4. Automate Data Extraction Using REST APIs

   After validating your extract configurations, use REST APIs to automate scheduling, monitoring, and data retrieval as part of integration workflows.

Learn About Data Extraction

Watch this video to get an overview of the Data Extraction tool.