Oracle RICE: A Comprehensive Guide to Optimizing
summary
Concrete claims include manufacturing saving $75 million saved and retail $12 million saved after RICE work while a financial institution reports 99.98% postmigration data accuracy. The session describes building custom reports, API/file/messaging interfaces, conversions and extensions — using Oracle Data Pump and SQL Loader, BI Publisher, Oracle Integration Cloud, SOA Suite and Oracle JDeveloper — and shows these deliver measurable cost and accuracy gains when migrations follow Oracle customization guidelines and biannual patching.
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chapters (9)
- 0:00intro
- 0:14understanding rise components
- 1:12deep dive into reports
- 2:32exploring interfaces
- 3:52data conversions explained
- 5:01customizing with extensions
- 6:35real-world examples and benefits
- 8:14common challenges and best practices
- 9:52conclusion and further learning
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