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Oracle Analytics Server (OAS): Classic Analytics Essentials
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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.

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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 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 practically Oracle Analytics Server (OAS): Classic Analytics Essentials

How you practise Oracle Analytics Server (OAS): Classic Analytics Essentials

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Course content

8 Chapters • 35 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Introduction to Oracle Analytics Server

  • Lesson 1 • Navigating the OAS Interface

    Introduces the Classic Home page, catalogue, 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 2See details

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 catalogue organisation, 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 summarised 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 3See details

Visualisation 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 enterprise reporting.

  • Lesson 4 • Gauge, Funnel, and Map Views

    Introduces specialised views for KPI monitoring and geographic analysis. Expands students' visualisation 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 4See details

Formulas, Calculations, and Column Logic

  • Lesson 1 • Repository Variables in Formulas

    Explains static, dynamic, and session variables and their use in column formulas. Students parameterise 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 5See details

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 6See details

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 7See details

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 8See details

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.

Certification

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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