
Oracle Analytics Server (OAS): Classic Analytics Essentials
Master Oracle Analytics Server Classic from architecture to advanced dashboard delivery. This course walks you through building analyses, configuring visualizations, writing formulas, and automating alerts — giving you the hands-on skills enterprise analytics teams depend on every day.
What you will learn:
Navigate the OAS environment and understand its architecture, tiers, and deployment models.
Build accurate analyses using subject areas, filters, prompts, and aggregation controls.
Configure bar, pivot, gauge, map, and combination chart views for diverse BI reporting needs.
Create calculated columns with CASE statements, date functions, and repository variables.
Assemble branded, multi-page dashboards with unified prompts and guided navigation actions.
Automate insight delivery using agents, condition-based triggers, and scheduled alerts.
How you study in a practical way Oracle Analytics Server (OAS): Classic Analytics Essentials
How you practise Oracle Analytics Server (OAS): Classic Analytics Essentials
For companies looking to train their teams
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.
Course content
8 Chapters • 35 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsIntroduction to Oracle Analytics Server
Introduction to Oracle Analytics Server
Lesson 1 • Navigating the OAS Interface
Introduces the Classic Home page, catalog, and global header. Students gain confidence moving between key interface areas used throughout the course.
Lesson 2 • OAS Platform Overview and Architecture
Covers OAS components, tiers, and deployment topology. Grounds students in how the platform is structured before any hands-on configuration.
Lesson 3 • Data Sources and Connectivity Basics
Explains how OAS connects to relational, OLAP, and file-based sources. Establishes the data connectivity concepts required for later subject area work.
Lesson 4 • Security and User Administration Fundamentals
Introduces roles, groups, and permission levels within OAS. Provides the access-control context students need to manage content and data visibility.
Chapter 2HideHide detailsSee detailsBuilding Analyses with Subject Areas
Building Analyses with Subject Areas
Lesson 1 • Applying Filters and Prompts
Covers inline filters, saved filters, and column prompts to control data scope. Students learn to make analyses dynamic and reusable.
Lesson 2 • Saving and Managing Analyses
Covers catalog organization, naming conventions, and sharing analyses. Prepares students to maintain a clean, collaborative content library.
Lesson 3 • Sorting, Aggregation, and Totals
Explains sort rules, aggregation overrides, and grand-total configuration. Ensures students can control how data is summarized and displayed.
Lesson 4 • Subject Areas and Column Selection
Teaches how to select subject areas and add dimension, measure, and attribute columns. Directly enables all subsequent analysis-building tasks.
Chapter 3HideHide detailsSee detailsVisualization Types and View Configuration
Visualization Types and View Configuration
Lesson 1 • Chart and Graph Configuration
Covers bar, line, pie, scatter, and combination charts with axis and legend controls. Students match chart types to data relationships and audience needs.
Lesson 2 • Title, Text, and Narrative Views
Explains how to add context with title, static text, and narrative views. Enables students to build self-explanatory, presentation-ready analyses.
Lesson 3 • Table and Pivot Table Views
Teaches tabular and cross-tab layouts, including row/column placement and formatting. Establishes the most common view types used in BI reporting.
Lesson 4 • Gauge, Funnel, and Map Views
Introduces specialized views for KPI monitoring and geographic analysis. Expands students' visualization toolkit beyond standard charts.
Lesson 5 • Compound Layout and View Coordination
Teaches compound layout design and master-detail linking between views. Students create cohesive multi-view analyses that respond to user interaction.
Chapter 4HideHide detailsSee detailsFormulas, Calculations, and Column Logic
Formulas, Calculations, and Column Logic
Lesson 1 • Repository Variables in Formulas
Explains static, dynamic, and session variables and their use in column formulas. Students parameterize calculations for context-sensitive reporting.
Lesson 2 • Aggregation Functions and EVALUATE
Covers SUM, COUNT, RANK, PERCENTILE, and the EVALUATE passthrough function. Students extend OAS capabilities using native database functions.
Lesson 3 • Conditional Logic with CASE Statements
Covers searched and simple CASE expressions for classification and scoring. Enables students to encode business rules directly into analyses.
Lesson 4 • Date and Time Functions
Teaches TIMESTAMPADD, TIMESTAMPDIFF, and date-extraction functions. Students build time-aware metrics essential for trend and period analysis.
Lesson 5 • Formula Editor and Syntax Fundamentals
Introduces the formula editor interface, operators, and data type rules. Provides the syntactic foundation for all custom calculation work.
Chapter 5HideHide detailsSee detailsAdvanced Filtering and Conditional Formatting
Advanced Filtering and Conditional Formatting
Lesson 1 • Column Visibility and Guided Navigation
Teaches conditional column display and guided navigation links tied to data values. Students build adaptive analyses that respond to context.
Lesson 2 • Selection Steps and Set Operations
Teaches selection steps for member-based filtering using keep, add, and remove operations. Enables precise dimensional slicing beyond standard column filters.
Lesson 3 • Conditional Formatting Rules
Explains threshold-based cell, row, and image formatting driven by measure values. Students configure visual alerts that surface exceptions without manual review.
Lesson 4 • Groups and Calculated Items
Covers creating named groups and calculated items within analyses. Students consolidate dimension members into custom categories for flexible reporting.
Chapter 6HideHide detailsSee detailsDashboard Design and Assembly
Dashboard Design and Assembly
Lesson 1 • Dashboard Prompts and Filters
Teaches dashboard-level prompts and how they interact with embedded analyses. Students create unified filter controls that drive multiple analyses simultaneously.
Lesson 2 • Dashboard Editor and Page Structure
Introduces the dashboard editor, page management, and column/section layout. Establishes the structural skills needed before adding content objects.
Lesson 3 • Dashboard Permissions and Publishing
Covers dashboard visibility, shared folder publishing, and permission assignment. Students deliver dashboards to the correct audience with appropriate access.
Lesson 4 • Navigation and Action Framework
Explains navigate actions, action links, and action link menus for guided analytics. Students build drill-through paths and contextual navigation flows.
Lesson 5 • Embedding Analyses and Other Content
Covers adding saved analyses, images, links, and embedded URLs to dashboards. Students populate dashboards with diverse content types.
Chapter 7HideHide detailsSee detailsAgents, Alerts, and Delivery Services
Agents, Alerts, and Delivery Services
Lesson 1 • Agent Content and Subscription Management
Teaches attaching analyses and reports to agents and managing user subscriptions. Students enable self-service alert subscription for end users.
Lesson 2 • Conditions and Threshold Monitoring
Covers condition objects that evaluate analysis results against defined thresholds. Students build data-driven triggers that fire agents only when business rules are met.
Lesson 3 • Agent Architecture and Scheduling
Introduces agent components, trigger types, and scheduling options. Establishes the operational model before students configure specific delivery scenarios.
Lesson 4 • Delivery Profiles and Destinations
Explains email, dashboard, and device delivery destinations and user profiles. Students configure where and how alerts reach their intended recipients.
Chapter 8HideHide detailsSee detailsPerformance Tuning and Administration Essentials
Performance Tuning and Administration Essentials
Lesson 1 • Query Performance Diagnostics
Covers usage tracking, query logs, and execution plan analysis. Students identify slow queries and trace root causes before applying fixes.
Lesson 2 • Caching Strategies and Configuration
Explains the OAS query cache, seeding, and purging mechanisms. Students configure caching to reduce database load and improve response times.
Lesson 3 • System Maintenance and Monitoring
Covers Fusion Middleware Control, service restart procedures, and log management. Students maintain OAS availability and respond to operational issues.
Lesson 4 • Aggregate Tables and Summary Advisors
Teaches aggregate table configuration and the Aggregate Persistence Wizard. Students accelerate large-dataset queries using pre-summarised data.
Your valid completion certificate
This course is for you:
BI Developer: ready to transition from OBIEE to the OAS platform.
Data Analyst: wants to move beyond spreadsheets into enterprise reporting tools.
IT Administrator: responsible for deploying and maintaining Oracle analytics environments.
Business Intelligence Consultant: needs certified, practical OAS skills for client projects.
Report Developer: tasked with building dashboards for organizational decision-making teams.
Career Changer: coming from a data-adjacent role and targeting enterprise analytics positions.
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