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POSTGRESQL DEVELOPER COURSE

Mastering PostgreSQL for High-Performance Database Development and Administration

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Course Schedule

Date Venue Fees (Face-to-Face)
28 – 12 Jun 2026 Dubai, UAE USD 3495 per delegate

Course Introduction

PostgreSQL is a powerful, open-source relational database system known for its stability, scalability, and advanced features. It is widely adopted by developers and data professionals to build robust, secure, and high-performance applications. As organizations increasingly rely on data-driven systems, skilled PostgreSQL developers are in high demand.

This intensive 5-day course offers a hands-on, practical approach to PostgreSQL development. Participants will learn how to design, implement, and optimize PostgreSQL databases, including schema creation, indexing strategies, functions, triggers, and advanced queries. Real-world examples and coding exercises are included to ensure immediate workplace applicability.

Course Objectives

By the end of this course, participants will be able to:
• Install, configure, and manage PostgreSQL databases
• Design normalized schemas and use advanced data types
• Write efficient SQL queries, joins, and subqueries
• Create stored procedures, triggers, and user-defined functions
• Implement indexing and performance tuning techniques
• Ensure data integrity, security, and transactional control

Key Benefits of Attending

• Gain in-demand skills in one of the world’s leading database systems
• Build high-performance and scalable database applications
• Master query optimization, indexing, and procedural logic in PostgreSQL
• Prepare for real-world development scenarios using hands-on labs
• Increase your technical value in data engineering and software teams

Intended Audience

This program is designed for:
• Database Developers and Software Engineers
• Data Analysts and Business Intelligence Developers
• System Architects and Backend Developers
• IT Professionals transitioning to PostgreSQL
• Anyone involved in relational database design or application development

Individual Benefits

Key competencies that will be developed include:
• Structured database design using PostgreSQL best practices
• Advanced SQL skills for data manipulation and reporting
• Procedural coding using PL/pgSQL
• Effective indexing, performance diagnostics, and tuning
• Secure database development and role-based access control

Organization Benefits

Upon completing the training course, participants will demonstrate:
• Improved database application performance and maintainability
• Efficient use of open-source PostgreSQL technologies
• Stronger support for application development and data services
• Reduced reliance on proprietary systems through skilled internal capability
• Better data governance and compliance practices through secured development

Instructional Methdology

The course follows a blended learning approach combining theory with practice:
• Strategy Briefings – PostgreSQL architecture, use cases, and integrations
• Case Studies – Database performance issues and optimization projects
• Workshops – Schema design, stored procedures, SQL performance tuning
• Peer Exchange – Code reviews, use case sharing, and debugging techniques
• Tools – pgAdmin, psql CLI, EXPLAIN ANALYZE, indexing utilities

Course Outline

Training Hours: 7:30 AM – 3:30 PM
Daily Format: 3–4 Learning Modules | Coffee breaks: 09:30 & 11:15 | Lunch Buffet: 01:00 – 02:00

Day 1: PostgreSQL Fundamentals and Setup

  • Module 1: Introduction to PostgreSQL Architecture (07:30 – 09:30)
    • Process model, storage engine, MVCC
  • Module 2: Installation, Configuration, and pgAdmin (09:45 – 11:15)
    • pg_hba.conf, postgresql.conf, CLI vs GUI tools
  • Module 3: Creating Databases, Tables, and Constraints (11:30 – 01:00)
    • Data types, primary/foreign keys, NULL control
  • Module 4: Workshop – Install PostgreSQL and Create Sample Schema (02:00 – 03:30)
    • Hands-on lab with setup and table creation

Day 2: Advanced SQL and Joins

  • Module 5: Writing Complex Queries (07:30 – 09:30)
    • Joins, subqueries, CTEs, set operations
  • Module 6: Window Functions and Aggregations (09:45 – 11:15)
    • ROW_NUMBER, RANK, PARTITION BY
  • Module 7: Views, Materialized Views, and Data Manipulation (11:30 – 01:00)
    • INSERT, UPDATE, DELETE, MERGE
  • Module 8: Workshop – Create and Optimize Complex Queries (02:00 – 03:30)
    • Performance comparison and best practices

Day 3: Functions, Triggers, and Stored Procedures

  • Module 9: Introduction to PL/pgSQL (07:30 – 09:30)
    • Control structures, variables, exception handling
  • Module 10: Creating and Using Functions (09:45 – 11:15)
    • Input/output parameters, returning sets
  • Module 11: Triggers and Automation in PostgreSQL (11:30 – 01:00)
    • AFTER, BEFORE, INSTEAD OF triggers
  • Module 12: Workshop – Develop a Trigger-Based Application Logic (02:00 – 03:30)
    • Trigger on insert/update with validations

Day 4: Indexing and Performance Optimization

  • Module 13: Index Types and Use Cases (07:30 – 09:30)
    • B-tree, Hash, GIN, GiST, BRIN
  • Module 14: Query Execution and EXPLAIN ANALYZE (09:45 – 11:15)
    • Cost estimation, scan types, filter conditions
  • Module 15: Partitioning and Table Optimization (11:30 – 01:00)
    • Range, list partitioning, table maintenance
  • Module 16: Workshop – Analyze and Tune Slow Queries (02:00 – 03:30)
    • Identify bottlenecks and apply fixes

Day 5: Security, Transactions, and Backup

  • Module 17: Role Management and Access Control (07:30 – 09:30)
    • Users, roles, privileges, schemas
  • Module 18: Transactions, Locks, and Isolation Levels (09:45 – 11:15)
    • BEGIN/COMMIT, deadlocks, serializability
  • Module 19: Backup, Restore, and Disaster Recovery (11:30 – 01:00)
    • pg_dump, pg_restore, WAL archiving
  • Module 20: Final Workshop – Build a Secure PostgreSQL App (02:00 – 03:30)
    • Schema with roles, security, and backup plan

Certification

Participants will receive a Certificate of Completion in PostgreSQL Developer Course, validating their proficiency in building, managing, and optimizing PostgreSQL databases for enterprise and application-level performance.

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