Extract Fusion data directly into Databricks 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 Databricks
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 & destination connections.
03
Deliver
Fabric or ADF orchestrates pipeline execution, while BI Connector manages extraction, chunking, retries, refreshes, and delivery.
Architecture
Seamless Oracle Fusion Data Delivery to Databricks
Benefits
What Changes for Your Team
Eliminate Oracle extraction complexity
Replace BICC exports, custom APIs, and file-based
workflows with Oracle-aware extraction built
specifically for Fusion.
Keep Microsoft Fabric or ADF
Continue using Fabric or Azure Data Factory for orchestration 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.
Build your own lakehouse
Load Oracle Fusion data into Databricks so you can build Delta tables, transformations, engineering workflows, and AI-ready datasets.
Accelerate implementation
Deploy Oracle Fusion pipelines in hours instead of spending weeks building Oracle-specific extraction logic.
Reuse existing Oracle assets
Reuse BI Publisher Data Models, Fusion SQL queries, and OTBI analyses instead of recreating Oracle business logic.
Customer stories
Trusted by Enterprise Data Engineering Teams
Organizations use BI Connector to simplify Oracle Fusion extraction while continuing to use Fabric or Azure Data Factory and Databricks 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 Databricks Pipeline
Build it yourself
With BI Connector
Build custom Oracle Fusion extraction logic
Use BI Connector's Oracle-aware extraction framework
Manage BICC files and Public View Objects
Eliminate BICC file workflows
Develop full and incremental refresh logic
Built-in support for full and incremental refreshes
Build retry, chunking, and UPSERT logic
Automatic chunking, retries, UPSERTs, and monitoring
Build custom Fabric/ADF pipeline components
Start with pre-built Fabric or Azure Data Factory templates
BI Connector extracts Oracle Fusion data and works with Microsoft Fabric or Azure Data Factory to orchestrate scheduled delivery into Databricks. Pre-built pipeline templates support full and incremental refreshes while eliminating the need to develop custom Oracle Fusion extraction logic.
No. Microsoft Fabric or Azure Data Factory continues to orchestrate and schedule your data pipelines. BI Connector replaces the Oracle Fusion extraction layer, handling Oracle authentication, extraction, incremental refreshes, retries, and Oracle-specific complexities.
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 Databricks.
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.
Custom ETLs rely on file-based workflows that require additional processing before data reaches Databricks. BI Connector extracts Oracle Fusion data using Oracle-supported reporting assets and automates delivery through Fabric or Azure Data Factory, reducing integration complexity.
Yes. BI Connector supports initial full loads followed by automated incremental refreshes that process only new and changed Oracle Fusion data, helping improve pipeline efficiency and reduce processing time.
Yes. BI Connector delivers Oracle Fusion data into Databricks, allowing your team to create Delta tables, transformations, star schemas, feature engineering pipelines, and AI-ready datasets using your existing Databricks workflows.
Build Your Oracle Fusion Data Pipeline. Not Your Extraction Layer.
Skip Oracle Fusion extraction complexity. Deliver trusted data to Databricks in hours and reduce custom pipeline costs by up to 80%.
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