This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities.  

Upon completing this course, database developers will be able to: 

• Design and implement efficient database schemas by employing normalization techniques, appropriate indexing strategies, and partitioning methods to optimize data storage and retrieval processes. 
• Develop advanced SQL queries, including joining multiple tables, utilizing subqueries, and aggregating data, to extract valuable insights and facilitate decision-making processes. 
• Implement stored procedures, functions, and triggers to automate common database tasks, enforce data integrity, and improve overall application performance. 
• Apply database performance tuning techniques, such as query optimization, index management, and transaction control, to ensure optimal resource usage and enhanced system responsiveness. 
• Integrate databases with various programming languages and platforms, enabling seamless data access and manipulation for web, mobile, and desktop applications. 

If your team requires different topics, additional skills or a custom approach, our team can collaborate with you to further adjust the course to focus on your specific learning objectives and goals. 

The ideal audience for this course includes database enthusiasts, IT professionals, and developers who are eager to expand their knowledge and skill set in database management and optimization. Roles that would greatly benefit from attending this course include: 

• Database Developers: Those who design, implement, and maintain databases as part of their primary responsibilities and want to improve their expertise in schema design, query optimization, and advanced database features. 
• Backend Developers: Professionals who work on server-side application logic and require a strong understanding of database management to integrate data storage and retrieval processes into their applications. 
• Data Analysts: Individuals who work with large data sets and need to extract meaningful insights from databases, utilizing advanced SQL querying techniques and data manipulation tools. 
• IT Professionals: System administrators and other IT staff who are responsible for managing and maintaining databases, ensuring data security, and optimizing performance. 
• Software Engineers: Developers seeking to expand their knowledge in database technologies to build scalable and efficient applications that rely on robust data management solutions. 

Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We'll work with you to tune this course and level of coverage to target the skills you need most. Topics, agenda and labs are subject to change, and may adjust during live delivery based on audience skill level, interests and participation. 

Installing & Managing PostgreSQL 

• PostgreSQL installation process 
• Optimal configuration settings 
• User and role management 
• Database backup and restoration 

Overview of PostgreSQL Database 

• PostgreSQL architecture overview 
• Understanding database objects 
• Efficient data storage 
• Transaction management basics 

Using the psql client 

• Introduction to psql 
• Essential psql commands 
• Executing queries effectively 
• Managing databases with psql 

Understanding PostgreSQL data types 

• Numeric data types explored 
• Character and binary types 
• Date, time, and boolean values 
• Array and other types 

Understanding sequences 

• Sequence creation and usage 
• Customizing sequence behavior 
• Implementing auto-increment columns 
• Sequence manipulation and control 

Creating & managing indexes 

• PostgreSQL index fundamentals 
• Designing partial indexes 
• Utilizing expression-based indexes 
• Index management techniques 

Using COPY to load data 

• COPY command overview 
• Importing and exporting data 
• Handling CSV and binary formats 
• Performance considerations 

Working with Array Values 

• Array value basics 
• Array manipulation functions 
• Querying arrays efficiently 
• Multidimensional array handling 

Advanced SQL Functions 

• Mastering Common Table Expressions 
• Utilizing Window Functions 
• Regular Expressions in SQL 
• Crafting Recursive Queries  

Writing triggers & stored procedures with PL/pgSQL 

• PL/pgSQL variables usage 
• Implementing loop operations 
• PERFORM and EXECUTE statements 
• Developing PostgreSQL triggers 

Using the PostgreSQL query optimizer 

• Query analysis and optimization 
• EXPLAIN command insights 
• PostgreSQL query operators 
• Identifying performance bottlenecks 

Improving query performance 

• Query performance tuning 
• Index optimization strategies 
• Efficient database partitioning 
• Connection and resource management 

Wrap Up & Additional Resources 

• Further learning opportunities 
• Staying up-to-date with PostgreSQL 
• Community engagement and support