By Gokuleshwar Raju Nannapuraju, HEXstream integrations and analytics consultant

Oracle Fusion Data Intelligence (FDI) plays a crucial role in simplifying data management for businesses by facilitating data integration, processing and validation. This blog focuses on configuring and maintaining data pipelines in FDI, as well as performing data validation to ensure accuracy.

Understanding FDI Data Pipelines

A data pipeline in FDI manages the flow of data from source systems to destinations (like data warehouses) where data can be analyzed. It automates Extract, Load and Transform (ELT) processes, delivering real-time insights with minimal user intervention. Oracle’s cloud-operations team handles the back end, so users need only configure a few parameters to start.

How to Configure Your Data Pipeline

1. Planning your configuration
   Understand your organization’s specific data needs, such as:
   • Historical data requirements—How much historical data is needed?
   • Currency conversion—Will your data require multiple currencies?
   • Data-refresh timing—Schedule refreshes during low-activity periods.
2. Customizing parameters
   While FDI provides pre-configured defaults, you can adjust these settings
   to match your business needs. The key steps are:
   • Activating functional areas—Areas such as ERP, SCM and HCM must be set up to manage specific data.
   • Having incremental data loads—FDI automatically sets up incremental data
     refreshes, improving efficiency by processing only new or updated data.
3. Managing functional areas
   Admins can easily control data flows by editing, resetting or deleting
   functional areas. Full data reloads can be scheduled for comprehensive
   updates.

Maintaining Data Pipelines

1. Scheduled maintenance
   Regular maintenance tasks include:
   • Frequent data refreshes—Set up automatic refresh schedules based on business
     needs.
   • Monitoring pipeline statistics—Analyze data-refresh performance and troubleshoot any
     issues such as rejected records.
2. Adjusting pipeline settings
   Post-launch, pipeline parameters may need updating to align with evolving
   business needs. You can adjust reporting settings and review audit logs
   for data accuracy.

Streamlined Data Validation

Data validation ensures the consistency and accuracy of the information in your FDI pipeline. FDI provides automated tools to simplify this process:

1. Automated Validation—Set up scheduled validation tasks to compare FDI data with
   predefined sets of metrics. This ensures that data from different sources
   is accurate and consistent.
2. On-Demand Validation—If needed, manual validation can be performed to check data
   accuracy instantly. This allows you to quickly compare data between your
   source systems and the FDI warehouse.

Conclusion

Oracle Fusion Data Intelligence simplifies data-pipeline configuration and validation, helping organizations maintain data integrity while minimizing manual intervention. By automating data pipelines and leveraging FDI’s validation tools, businesses can ensure that their data is reliable, up-to-date, and ready for analysis.

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