Many organisations rely on legacy Oracle databases to power critical back-office operations like financial ledgers, supply chain systems, and HR platforms. However, keeping these core workloads on-premises creates escalating extended support fees, mounting technical debt, and continuous patching demands.

Historically, moving Oracle databases to the cloud meant managing complex, split-cloud setups that added network latency and management overhead. Today, you can run native, high-performance Oracle database services directly inside your primary cloud platform, whether that is Google Cloud, Azure, AWS, or OCI.

Join us to explore how to eliminate perpetual maintenance cycles, strengthen data security, and connect operational data directly to modern AI tools in a unified cloud environment.

1. Navigating the operational reality & on-premise risks

This session addresses the escalating financial, security, and hardware risks of remaining on legacy infrastructure. Key focus areas include avoiding escalating extended support fees on aging database releases, protecting critical data when manual patching cycles are unsupported or too slow, and managing data center contract endings without capital-intensive hardware refreshes.

2. The single-cloud consolidation blueprint

Recent cloud breakthroughs now allow you to run native Oracle Exadata infrastructure directly inside your primary cloud platform, such as Oracle Database@Google Cloud or Oracle Database@Azure. Attendees will discover how this unified approach preserves existing team skillsets, maintains sub-millisecond response times, and consolidates operations into a single cloud footprint.

3. Practical execution & migration blueprint

Learn how expert database assessments map dependencies and performance profiles and how real-world organisations like the University of Massachusetts modernized legacy Oracle E-Business Suite instances to unlock self-service analytics.