From Querying to Replicating: Building a Future-Ready Data Strategy for Oracle Fusion Cloud
Many organizations begin their Oracle Fusion Cloud journey focused on transactions and configuration, only to realize later that reporting, analytics, and data accessibility need just as much attention. During AI World, we heard this first-hand: teams that started with SQL-based querying are now looking to replicate an
Abstract
Many organizations begin their Oracle Fusion Cloud journey focused on transactions and configuration, only to realize later that reporting, analytics, and data accessibility need just as much attention. During AI World, we heard this first-hand: teams that started with SQL-based querying are now looking to replicate and extend their Fusion data into modern data warehouses like Snowflake, Databricks, and Oracle ADW.
In this session, we’ll discuss how to bridge that gap, from ad-hoc querying with SQL Connect to building a governed, high-performance local data strategy with Data Pipeline. We’ll cover:
- Why organizations are shifting from on-demand queries to continuous replication
- How to prepare for data warehouse integration and cross-platform analytics
- Practical considerations for governance, scalability, and post-implementation reporting readiness
- If you’re rethinking your reporting strategy or planning your next Fusion Cloud phase, this session will help you design a flexible framework that grows with your data needs.
