Oracle Fusion to Microsoft Fabric

Built for governed analytics, reporting, and AI with Orbit DataJump

Orbit Analytics helps enterprises move Oracle Fusion data into Microsoft Fabric with stable, repeatable pipelines using Orbit DataJump. Connect Oracle Fusion ERP to Fabric’s unified analytics environment so finance, supply chain, and HR teams can work from trusted, analytics-ready data in OneLake, Lakehouse, and Warehouse.

Request a Demo

Unified analytics platform

Microsoft Fabric combines data movement, engineering, warehousing, real-time analytics, and BI in one platform, reducing the need to stitch together separate services.

The data foundation

Microsoft Fabric is designed to be the single place for analytics data, making it a strong fit for centralizing Oracle Fusion datasets.

Flexible orchestration and transformation

Orbit datajump with prebuilt oracle fusion orchestration and data models supports cloud-scale data movement and transformation, while prebuilt analytics helps to visualize data from PowerBI.

Power BI: Interactive and Business-Friendly Visualization Layer

Power BI acts as the front-end for consuming Oracle Fusion data once it is integrated into Fabric. It enables highly interactive dashboards where users can drill down from high-level summaries into detailed transactions.

Conversational Analytics on Top of Dashboards

One of the most powerful aspects of Fabric is how Copilot is embedded with Power BI. Users can interact with dashboards conversationally by asking follow-up questions directly within reports.

How Orbit DataJump works with Microsoft Fabric

Step 1

Connect Oracle Fusion as the source

In Orbit DataJump, you select Oracle Fusion as your source connector. DataJump supports Oracle Fusion extraction methods including BICC, BI Publisher (BIP), custom SQL-based extraction patterns, and API-based approaches for supported Oracle services. DataJump also handles source configuration, authentication, and schema discovery during setup.

Step 2

Connect Microsoft Fabric as the destination

Next, you configure Azure SQL, Azure Databricks or Snowflake as the destination. Orbit DataJump prepares data movement into Fabric so Oracle Fusion data can land in a governed analytics architecture. Fabric is designed as an all-in-one analytics platform, while OneLake serves as the single place for analytics data across the environment.

Step 3

Schedule and monitor pipelines

Choose the Oracle Fusion objects, reports, or domains you want to extract, run an initial load, and then schedule recurring refreshes. Orbit DataJump helps operationalize the process with repeatable execution, monitoring, and pipeline control so business teams can rely on predictable refresh cycles. In Microsoft Fabric, pipelines and dataflows support orchestration and transformation for enterprise ETL scenarios.

Step 4

Deliver analytics-ready data in Fabric

With Oracle Fusion data available in Microsoft Fabric, teams can support enterprise reporting, analytics, and AI initiatives on top of a unified data foundation. Fabric brings together data movement, engineering, warehousing, real-time analytics, and BI in one platform, helping teams reduce fragmentation across tools.

Oracle Fusion to Microsoft Fabric Integration Guide

From transactions to trusted analytics in Fabric

Get the practical integration approach for moving Oracle Fusion ERP data into Microsoft Fabric with stable, repeatable pipelines using Orbit DataJump.

Built for scale

Support growing data volumes and expanding reporting demand without constantly rebuilding integrations or maintaining fragile custom pipelines.

Governance-ready outcomes

Produce trusted, reusable datasets that business and analytics teams can use across dashboards, semantic models, finance reporting, and AI initiatives.

Built for a unified data estate

Microsoft Fabric is designed to unify analytics workloads. This makes it easier to centralize Oracle Fusion data for cross-functional analysis and downstream consumption.

Picking your Fusion Analytics Platform? A Practical Guide!

Learn More

Why teams choose Oracle Fusion to Microsoft Fabric integration

Teams usually begin this journey to reduce manual reporting effort, improve trust in business data, and create a scalable foundation for enterprise analytics. The key requirement is repeatability: what works for an initial use case also needs to work during quarter close, audit cycles, executive reporting, and ongoing operational analysis.

Faster time to first usable dataset

Business teams can validate outcomes earlier with Oracle Fusion data delivered into a modern analytics environment built for reporting and downstream modeling.

Lower maintenance overhead

Avoid the constant break-fix cycle that often comes with custom-built Oracle integrations as source structures, report logic, and business requirements evolve.

Predictable refresh cycles

Get better operational visibility and a more repeatable pipeline process so data consumers know when to trust and use refreshed datasets.

Analytics-ready outputs

Prepare Oracle Fusion data for Power BI, Fabric Warehouse, Lakehouse-based analytics, and broader AI and advanced analytics use cases supported by Microsoft Fabric.