Oracle Fusion Data Delivered to SQL Server. In Hours, Not Months.
Extract Fusion data directly into SQL Server with Microsoft Fabric or Azure Data Factory using BI Connector’s plug-and-play pipeline templates, which support full and incremental loads.
How BI Connector Loads Oracle Fusion Data into SQL Server
01
Connect
Connect securely to Fusion base tables, BI Publisher data models, Fusion SQL queries, OTBI analyses, and BICC PVOs.
02
Configure
Generate the lookup table in BI Connector, import the pre-built Fabric or ADF pipeline template, and map the source and destination connections.
03
Deliver
Fabric or ADF orchestrates scheduled data movement, while BI Connector handles extraction, chunking, incremental loads, and delivery.
Architecture
Seamless Oracle Fusion Data Delivery to SQL Server
Benefits
What Changes for Your Team
Eliminate Oracle extraction complexity
Replace BICC exports, custom APIs, and
file-based workflows with direct extraction from
Oracle Fusion.
Keep Microsoft Fabric or ADF
Keep Fabric or ADF as your pipeline orchestration platform while BI Connector replaces the Oracle Fusion extraction layer.
Incremental data refresh
Support initial full loads followed by automated incremental refreshes that process only new and changed Oracle Fusion data.
Build on raw Oracle Fusion data
Load Fusion base tables directly into SQL Server so your team can build its own warehouse models, views, and transformations.
Accelerate implementation
Go from Oracle Fusion connection to your first SQL Server data load in hours instead of weeks, using pre-built pipeline templates.
Improve pipeline reliability
Handle upserts, error recovery, and retries automatically to reduce manual intervention when pipeline runs fail.
Customer stories
Trusted by Enterprise Data Engineering Teams
Organizations use BI Connector to simplify Oracle Fusion extraction while continuing to use Microsoft Fabric or ADF and SQL Server as part of their existing data platform.
“What took months now takes hours.”
Neil Miller, Business Applications Manager, Pure DC
“We cut Oracle reporting costs by over 80%.”
Eduardo Nava, Data and Analytics Manager, Resideo
“A game-changer for Oracle Fusion data warehouse integration at scale.”
Allen Hayes, ERP Systems Manager, Eagle Materials
Comparison
Why Teams Use BI Connector with Microsoft Fabric for Oracle Fusion Data Extraction
Build it yourself
With BI Connector
Build custom Oracle Fusion extraction logic
Use BI Connector's pre-built Oracle Fusion extraction framework
Manage BICC files and Public View Objects (PVOs)
Extract Oracle Fusion data without BICC file workflows
Develop full and incremental load logic
Built-in support for full and incremental loads
Build chunking, retry, and upsert logic
Built-in chunking, retries, and upsert handling
Spend weeks building Microsoft Fabric or ADF pipelines
Start with pre-built Microsoft Fabric or ADF pipeline templates
BI Connector extracts Oracle Fusion data and works with Microsoft Fabric or Azure Data Factory pipelines to orchestrate scheduled delivery into SQL Server. Plug-and-play pipeline templates support full and incremental loads, reducing the engineering effort required to build, configure, and maintain custom Oracle Fusion extraction workflows.
No, Microsoft Fabric or ADF continues to orchestrate and schedule your data pipelines. BI Connector handles the Oracle Fusion extraction layer, including authentication, data extraction, incremental loading, and Oracle-specific complexities. At the same time, Fabric or ADF manages pipeline orchestration and data movement into SQL Server.
BI Connector supports Oracle Fusion base tables, BI Publisher data models, Fusion SQL queries, OTBI analyses, BICC PVOs, and Data Extraction Tool business objects. Support for the Data Extraction Tool business objects is in the immediate roadmap.
Data engineers can select the extraction approach that best fits their reporting, analytics, and data warehouse requirements while delivering the resulting data into SQL Server.
The Oracle Fusion Query Vault is a library of ready-to-use SQL queries for common Oracle Fusion reporting and data requirements that can be used as data sources in BI Connector. It includes queries across areas such as Finance, HCM, and SCM that can be used as a starting point for reporting, customized for specific requirements, and run through BI Connector to access Fusion data.
BICC generates file-based extracts that require additional processing, storage, and pipeline development before reaching SQL Server. BI Connector extracts Oracle Fusion data directly and automates delivery through Microsoft Fabric or Azure Data Factory, reducing file management and the custom integration work associated with BICC-based workflows.
SQL Server provides a centralized repository for Oracle Fusion data, supporting enterprise reporting, historical analysis, and multiple BI tools. It also reduces reporting workloads on Oracle Fusion while giving teams greater control over data modeling, transformations, retention, and refresh schedules.
Yes. BI Connector's Microsoft Fabric and ADF pipeline templates support initial full loads and ongoing incremental loads using watermark-based processing. This allows pipelines to process only applicable changes after the initial load, reducing unnecessary data movement and improving overall pipeline efficiency.
Yes. BI Connector loads Oracle Fusion data into SQL Server, where your team can apply its existing data engineering practices. You can create custom views, joins, transformations, and warehouse models to organize the data for reporting and downstream analytics.
Build Your Oracle Fusion Data Pipeline. Not Your Extraction Layer.
Skip Oracle Fusion extraction complexity. Load SQL Server faster and reduce pipeline costs by up to 80%.
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