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.
Overview
Syllabus
- Three-Layer RPD Semantic Model Design
- You will design a production-grade three-layer RPD semantic model that maps physical data sources to governed business subject areas and presentation folders, validating joins, hierarchies, and calculations against enterprise standards.
- OAS Performance Optimization & SLA Tuning
- You will evaluate OAS platform performance against a defined 3-second dashboard response-time SLA, configure aggregate persistence scripts, query caching parameters, and usage tracking, and produce a measurable optimization brief for executive stakeholders.
- Security Implementation & Lifecycle Governance
- You will analyze and implement object-level and row-level security rules in the OAS RPD and plan and execute a change-controlled Dev→Test→Prod promotion to ensure a governed analytics content lifecycle.
Taught by
Hurix Digital