Integrating Oracle Fusion Cloud Applications with modern data platforms like Databricks is a powerful step toward unified analytics, especially when you want to connect Oracle Fusion to Databricks and connect Databricks to Oracle Fusion data pipelines in a reliable way. But in most enterprises, this integration remains complex, time-consuming, and difficult to maintain. 

With Orbit DataJump, that challenge disappears. In just a few clicks, you can automate secure data extraction from Oracle Fusion and land it in Databricks, so teams can quickly connect Oracle Fusion to Databricks and keep the resulting environment fully modeled and analytics-ready. 

Why Connect Oracle Fusion to Databricks? 

Organizations running on Oracle Fusion (ERP, HCM, SCM, etc.) generate massive volumes of transactional and operational data. For these teams, the ability to connect Oracle Fusion to Databricks or connect Databricks to Oracle Fusion is central to building a unified analytics layer on top of their core ERP. 

However: 

• Fusion data is spread across multiple subject areas and APIs (BICC, BIP, REST). 

• The schema complexity and frequent quarterly updates make direct integration difficult to maintain. 

• Manual exports or custom scripts are brittle and do not scale for modern analytics or AI workloads. 

Databricks, on the other hand, offers: 

• Scalable compute for both BI and machine learning. 

• Delta Lake architecture for efficient incremental loads. 

• Seamless integration with BI tools like Power BI or Tableau. 

The missing piece is a reliable bridge between Oracle Fusion and Databricks, so that when you connect Databricks to Oracle Fusion data, you get trusted, consistent, and repeatable pipelines rather than ad hoc one-off integrations. That is where Orbit DataJump shines. 

How Orbit DataJump Makes It Simple 

Orbit DataJump provides a no-code, prebuilt data pipeline platform purpose-built for Oracle Fusion. It gives teams a guided way to connect Oracle Fusion to Databricks for analytics, without wrestling with low-level integration details. 

You can move from setup to your first analytics-ready dataset quickly. 

Here is how it works 👇 

1. Set Up the Source Connector – Oracle Fusion 

In DataJump, simply choose Oracle Fusion as your source. This is the first step if you want to connect Databricks to Oracle Fusion in a structured, supportable way. 

Orbit supports all major Fusion extraction mechanisms: 

• BICC (Business Intelligence Cloud Connector) – for large volume extracts from standard view objects (PVOs). 

• BIP (BI Publisher Reports) – for curated reports or subject specific extracts. 

• Custom SQLs – for bespoke queries built around your business needs. 

• EPM / EDM REST APIs – for Oracle EPM or Data Management integrations. 

Just provide your Fusion credentials and connection details. DataJump handles schema discovery and authentication automatically, so that any downstream effort to connect Oracle Fusion to Databricks starts from a clean, consistent source ofdata. 

2. Set Up the Destination Connector – Databricks 

Next, configure Databricks as your target. This is where you effectively connect Oracle Fusion to Databricks by choosing how and where the ERP data will land in your Databricks workspace. 

• Enter the workspace URL, token, and other information. 

• Select your target database and storage. 

DataJump automatically creates the schema and prepares optimized write paths for bulk and incremental data loads, so when you connect Databricks to Oracle Fusion via this pipeline, the landing zone is already tuned for analytics and AI. 

3. Choose What to Extract 

You have two easy options: 

• Select BICC PVOs and Columns – DataJump lists all available PVOs from Fusion. Choose the tables and fields you need. 

• Select a BIP Report – Point to your existing BI Publisher report to reuse curated logic and joins. 

This flexibility lets you balance raw data replication and business-defined views, so whether you connect Oracle Fusion to Databricks for detailed line-level analysis or connect Databricks to Oracle Fusion for finance dashboard summaries, you can decide exactly what to move. 

4. Schedule and Run Jobflows 

Finally, define your data movement: 

• Initial Load – brings in the full dataset. 

• Incremental Load – automatically picks up deltas based on last run timestamps or change indicators. 

You can schedule job flows periodically and monitor their runs directly from the Orbit console. Once configured, this is the operational backbone that keeps your connect Oracle Fusion to Databricks strategy running smoothly without manual intervention. 

DataJump handles data validation, error retries, and schema drift, keeping your pipelines healthy even as Oracle updates quarterly, so the way you connect Databricks to Oracle Fusion data remains stable over time. 

Why Orbit DataJump for Oracle Fusion? 

Orbit DataJump is not just another ETL tool. It is purpose built for Oracle Fusion and for teams that need to connect Oracle Fusion to Databricks without building everything from scratch. 

Here is what sets it apart: 

Feature	Why It Matters
Prebuilt Fusion data models	Converts operational data into analytics ready star schemas, removing the need for manual modeling.
Automatic schema evolution	Adapts to Fusion quarterly updates without breaking pipelines.
Incremental and historical loading	Supports CDC style updates, maintaining history for trend analysis.
Security and compliance	Uses secure credentials, audit logging, and encryption throughout the pipeline.
End to end monitoring	Gives visibility into data freshness, job health, and lineage.

Together, these capabilities make Orbit DataJump a natural choice for organizations that want to quickly connect Databricks to Oracle Fusion while maintaining control, governance, and performance. 

The Result: Analytics Ready Fusion Data in Databricks 

Once loaded into Databricks, your Oracle Fusion data is ready for action. With the pipeline in place, you do not just connect Oracle Fusion to Databricks one time; you establish an ongoing flow of trusted ERP data into your lakehouse. 

• Build Power BI or Tableau dashboards directly on curated Delta tables. 

• Run AI and ML models using Databricks notebooks. 

• Combine Fusion with Salesforce, Workday, or other enterprise data for a 360-degree business view. 

This is the practical outcome of choosing to connect Databricks to Oracle Fusion via Orbit DataJump instead of relying on manual exports and scripts. 

Conclusion 

Connecting Oracle Fusion to Databricks no longer needs to be a months-long project involving APIs, scripts, and manual data preparation. With a dedicated pipeline approach, you can connect Oracle Fusion to Databricks and connect Databricks to Oracle Fusion with confidence, repeatability, and governance. 

With Orbit DataJump, you can: 

• Connect Oracle Fusion (via BICC, BIP, or REST APIs). 

• Connect Databricks as your target. 

• Pick your data. 

• Schedule and run pipelines for initial and incremental loads. 

That is it. Your Fusion data is now flowing automatically into Databricks, modeled, clean, and ready for analytics, every time you connect Oracle Fusion to Databricks using Orbit DataJump. If you are ready to move beyond manual exports and fragile scripts, connect with the Orbit team for a quick DataJump demo tailored to your Oracle Fusion and Databricks environment.