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.

Engineer Governed OAS Platforms

Recommended experience
What you'll learn
Governed semantic models ensure trusted analytics through consistent metrics, validated joins, and business-aligned RPD design.
Performance governance ensures SLA reliability through proactive cache tuning, aggregate persistence, and usage-driven optimization.
Analytics security depends on precise RPD controls aligned with regulatory access policies and validated governance practices.
Lifecycle governance ensures stable analytics through controlled Dev→Test→Prod promotion, audit readiness, and business continuity.
Skills you'll gain
- Data Modeling
- Application Lifecycle Management
- Performance Improvement
- Security Controls
- Change Control
- Data Validation
- Cloud Computing Architecture
- Data Mapping
- Business Administration
- Data Governance
- Metadata Management
- Semantic Web
- Service Level
- Release Management
- Change Management
- Performance Tuning
- Data Warehousing
Tools you'll learn
Details to know

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June 2026
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There are 3 modules in this course
Instructor

Offered by
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Status: PreviewCoursera
Status: Preview
Status: Free Trial
Status: Free TrialUniversity of Maryland, College Park
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Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
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