Oracle SQL Advanced Training

Target Audience

Professionals with prior Oracle SQL experience
SQL developers working with complex queries and large datasets
Database analysts and reporting professionals
Business analysts using SQL for advanced data analysis
BI developers working with Oracle-based systems
Application support engineers handling database queries
Professionals preparing for advanced SQL or PL/SQL roles
Teams working in Oracle enterprise database environments

Highlights

Deepen expertise in advanced Oracle SQL concepts
Work with inline views, derived tables, and complex joins
Use analytical (window) functions for advanced reporting
Design performance-optimized SQL queries
Understand and apply indexes and execution plans
Create and manage sequences and auto-generated keys
Compare and use views and materialized views effectively
Apply SQL best practices for enterprise environments

Overview

Oracle SQL Advanced Training is a hands-on, advanced-level course designed for professionals who want to deepen their SQL expertise and work with complex queries, advanced analytics, and performance-oriented SQL using Oracle Database. The course builds on foundational SQL knowledge and focuses on writing efficient, scalable, and enterprise-ready SQL solutions.

The training begins with a structured recap of Oracle SQL fundamentals to ensure all learners start with a strong baseline. It then progresses into advanced topics such as complex joins, inline views and derived tables, correlated subqueries, and analytical (window) functions used for advanced reporting and data analysis.

As the course advances, learners explore performance-focused concepts including indexes, execution plans, and query tuning techniques. The course also covers enterprise database objects such as sequences, views, and materialized views, along with practical guidance on when and how to use them effectively.

By the end of the course, learners will be able to design high-performing SQL queries, analyze and optimize query execution, and apply advanced Oracle SQL features to support analytics, reporting, and application development in real-world enterprise environments.

Prerequisite

To successfully complete Oracle SQL Advanced Training, learners should have:

Prior experience writing SQL queries using Oracle Database
Understanding of SELECT statements, joins, functions, and subqueries
Familiarity with GROUP BY, HAVING, and basic set operators
Experience working with relational database tables and keys
Comfort using tools such as Oracle SQL Developer or Oracle LiveSQL

Outcomes

By the end of this course, you will be able to:

Write complex and optimized SQL queries using Oracle Database
Use inline views and derived tables to simplify and structure queries
Apply analytical (window) functions for advanced reporting and analysis
Design efficient queries using advanced joins and correlated subqueries
Create and manage sequences and auto-generated keys
Analyze execution plans and apply basic query tuning techniques
Implement and compare views and materialized views
Optimize SQL performance using indexes and best practices

Job Roles

This course prepares learners for advanced database and SQL-focused roles that require strong querying, optimization, and analytical skills using Oracle Database. After completing the training, learners will be better prepared for positions such as:

SQL Developer
Database Analyst
Senior Reporting Analyst
Data Analyst (SQL-Focused)
Business Intelligence (BI) Developer
Application Support Engineer (Database-Focused)
Oracle Database Developer
Data Engineering or ETL Support Roles

Curriculum

Module 1: Recap of Oracle SQL Fundamentals

Review of SELECT queries, joins, functions, and subqueries
Recap of aggregations, GROUP BY, HAVING, and set operators
Reinforcing SQL best practices from the beginner level

Module 2: Advanced SQL Review and Best Practices

Writing complex and efficient SQL queries
Improving query readability and maintainability
Common SQL anti-patterns and best practices

Module 3: Advanced Joins and Complex Query Patterns

Advanced join scenarios and self-joins
Multi-table joins and conditional joins
Optimizing join performance

Module 4: Inline Views and Derived Tables

Understanding inline views and derived tables
Using subqueries in the FROM clause
Practical use cases for query simplification and optimization

Module 5: Advanced Subqueries and Correlated Queries

Correlated subqueries in real-world scenarios
EXISTS, NOT EXISTS, and advanced filtering logic
Performance considerations for nested queries

Module 6: Analytical (Window) Functions in Oracle

Introduction to analytical functions
Using OVER, PARTITION BY, and ORDER BY
ROW_NUMBER, RANK, DENSE_RANK, running totals, and analytics

Module 7: Advanced Aggregations and Reporting Queries

Complex GROUP BY and HAVING scenarios
Combining aggregations with analytical functions
Advanced reporting and analytical query patterns

Module 8: Sequences and Auto-Generated Keys

Creating and managing Oracle sequences
Using sequences for primary and foreign keys
Handling auto-generated values in INSERT operations

Module 9: Indexes and SQL Performance Optimization

Understanding indexes and their impact on performance
Types of indexes and when to use them
Identifying and resolving slow-running queries

Module 10: Views and Materialized Views

Creating and managing standard views
Understanding materialized views and refresh options
Comparing views vs. materialized views

Module 11: Execution Plans and Query Tuning Basics

Understanding execution plans
Using EXPLAIN PLAN for query analysis
Writing performance-aware SQL

Module 12: Practical SQL Optimization Scenarios

Real-world SQL performance tuning examples
Refactoring queries for efficiency
Best practices for enterprise SQL development

Demand for This Course

As organizations handle increasingly complex data environments, there is strong demand for professionals who can write advanced SQL queries, optimize database performance, and support analytics and reporting at scale. Oracle Database remains a core enterprise platform across industries, and advanced SQL skills are critical for working efficiently with large, complex datasets.

In sectors such as finance, healthcare, government, manufacturing, and technology, professionals are expected not only to retrieve data but also to analyze query performance, apply advanced SQL techniques, and ensure reliable data access for applications and reports. Poorly optimized SQL can lead to slow systems, inaccurate reporting, and operational inefficiencies.

This course directly addresses the growing need for:

SQL developers working with enterprise Oracle databases
Database and BI professionals responsible for performance tuning
Analysts building complex reporting and analytical queries
Organizations relying on Oracle SQL for mission-critical systems
Teams seeking to optimize query performance and scalability
Professionals preparing for advanced database and data engineering roles

By mastering advanced Oracle SQL concepts, learners gain the ability to design efficient, high-performing queries and support enterprise-grade data solutions. This course helps organizations improve database performance, strengthen analytics capabilities, and reduce operational risks through optimized SQL practices.

Frequently Asked Questions (FAQs)

This course is ideal for SQL developers, database analysts, BI professionals, and experienced Oracle SQL users who want to deepen their skills in advanced querying and performance optimization.

This is an Advanced-level course designed for learners with prior hands-on experience using Oracle SQL.

The course duration is 32 hours, delivered through instructor-led training with hands-on assignments and guided practice.

While completing Oracle SQL Training for Beginners is recommended, learners with equivalent SQL experience can directly enroll in this advanced course.

The course covers inline views, derived tables, analytical functions, advanced joins, sequences, indexes, execution plans, and performance optimization techniques.

Yes. You will learn how to analyze execution plans, use indexes effectively, and optimize SQL queries for performance.

Yes. The course includes guided demonstrations, hands-on assignments, and real-world business scenarios to reinforce learning.

Yes. The course covers creating and managing views, understanding materialized views, and comparing when to use each.

Yes. Learners who successfully complete the course will receive a Certificate of Completion from Ohio Computer Academy (OCA).

Yes. The course is delivered as Instructor-led live online training. In-class delivery is also available.

Yes. Group training (5 participants) is available at a fixed per-person rate. Individual (1-on-1) and corporate training options are available with customized pricing.

You can register through the Ohio Computer Academy website or contact our team using the Contact Us or Get Quote options on the course page.

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Course Category

Target Audience

Highlights

Overview

Prerequisite

Outcomes

Job Roles

Curriculum

Demand for This Course

Frequently Asked Questions (FAQs)

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