Move Oracle Fusion Data to Azure SQL Without Custom Oracle Extraction
Extract Fusion data directly into Azure SQL 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 Azure SQL
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 pre-built Fabric or ADF pipeline templates, and map the source and destination connections.
03
Deliver
Fabric or ADF orchestrates the pipeline, while BI Connector manages extraction, retries, incremental refreshes, and delivery.
Architecture
Seamless Oracle Fusion Data Delivery to Your Azure Stack.
Benefits
What Changes for Your Team
Eliminate Oracle extraction complexity
Replace custom Oracle Fusion extraction code
with an Oracle-aware integration framework built specifically for Fusion.
Keep Microsoft Fabric or ADF
Continue using Microsoft Fabric or Azure Data Factory while BI Connector manages Oracle Fusion extraction and refresh logic.
Incremental Refresh
Support initial full loads followed by automated incremental refreshes that process only new and changed Oracle Fusion data.
Centralize reporting data
Create a trusted Azure SQL repository for Power BI, Tableau, enterprise reporting, operational applications, and downstream analytics.
Accelerate implementation
Deploy Oracle Fusion pipelines in hours instead of spending weeks or months building Oracle-specific integrations.
Reuse existing Oracle assets
Continue using BI Publisher reports, OTBI analyses, Fusion SQL queries, and existing Oracle business logic.
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 Azure SQL 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 for Oracle Fusion to Azure SQL Data Pipelines
BI Connector extracts Oracle Fusion data and works with Microsoft Fabric or Azure Data Factory to automate delivery into Azure SQL. Pre-built pipeline templates support scheduled full and incremental refreshes without requiring custom Oracle extraction development.
No. Microsoft Fabric and Azure Data Factory continue to orchestrate and schedule your pipelines. BI Connector replaces the Oracle Fusion extraction layer, handling Oracle-specific connectivity, incremental refreshes, retries, and extraction logic.
Azure SQL provides a centralized, governed data repository that supports enterprise reporting, application integration, historical analysis, and multiple analytics tools, without adding reporting workloads to Oracle Fusion.
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 Azure SQL.
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 extracts generate file-based exports that require additional processing before data reaches Azure SQL. BI Connector automates Oracle Fusion extraction and delivery through Microsoft Fabric or Azure Data Factory, reducing file management and custom integration complexity.
Yes. BI Connector supports initial full loads followed by automated incremental refreshes that process only new and changed Oracle Fusion data, improving pipeline efficiency while reducing processing time.
Yes. BI Connector lets you reuse existing BI Publisher reports, OTBI analyses, Fusion SQL queries, and Oracle business logic, helping preserve existing reporting investments while accelerating Azure SQL implementation.
Build Your Azure SQL Data Platform. Not Your Oracle Extraction Layer.
Skip Oracle Fusion extraction complexity. Deliver trusted data to Azure SQL and reduce integration costs by up to 80%.
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