Engineer Governed OAS Platforms
Key Takeaways
Designs production-grade RPD semantic models for governed OAS platform engineering at scale using enterprise analytics platforms
Original Description
Could your enterprise analytics platform survive a compliance audit tomorrow? This Short Course was created to help Business Intelligence professionals accomplish governed OAS platform engineering at scale. By completing this course, you'll design production-grade RPD semantic models, tune query performance against defined SLAs, and enforce security and lifecycle governance — skills you can deploy the next day at work.
By the end of this course, you will be able to:
● Create a three-layer RPD semantic model that maps physical data sources to govern business subject areas and presentation folders, validating joins, hierarchies, and calculations against enterprise standards
● Evaluate and optimize OAS performance by configuring aggregate persistence scripts, query caching parameters, and usage tracking to meet defined dashboard response-time SLAs
● Analyze and implement object-level and row-level security rules, then plan and execute Dev/Test/Prod migrations to ensure a governed analytics content lifecycle
This course is unique because it targets Oracle Analytics Server's full technical stack — from RPD metadata layer architecture through change-controlled production promotion. To be successful, you should have a background in OAS/OBIEE administration and enterprise SQL data modeling.
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