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Secure and Tune OAS Models

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Coursera

Secure and Tune OAS Models

Hurix Digital

Instructor: Hurix Digital

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Governed RPD architecture ensures trusted analytics through a structured semantic model that delivers consistent, governed reporting.

  • Security governance requires continuous validation of object-level and row-level policies across every promotion stage to maintain compliance.

  • Performance bottlenecks are solved through query analysis, cache tuning, and aggregate persistence for reliable throughput.

  • Release discipline ensures production-grade BI through peer reviews, controlled promotions, and performance threshold validation.

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Recently updated!

June 2026

Assessments

6 assignments¹

AI Graded see disclaimer
Taught in English

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There are 3 modules in this course

You will design, configure, and validate a governed three-layer RPD model in Oracle Analytics Server, covering physical joins, logical calculations, and presentation hierarchies to standardize enterprise subject areas.

What's included

1 video2 readings2 assignments

You will analyze and enforce object-level and row-level security policies within the OAS RPD and catalog, validating compliant role matrix enforcement across Dev, Test, and Production environments.

What's included

1 video1 reading2 assignments

You will evaluate OAS platform performance by interpreting query logs, configuring query caching, and applying aggregate persistence to certify that dashboards and scheduled Publisher reports meet the 95th-percentile throughput threshold.

What's included

2 readings2 assignments

Instructor

Hurix Digital
454 Courses56,890 learners

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Coursera

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.