PG-210

Postgresql Developer Training logo
Formats: Asynchronous
Blended
Online
Onsite
Part-time
Level: Intermediate
Prerequisites:
Recommended Knowledge
Basic Knowledge of Databases
Proficiency in SQL
Experience with Programming

Formats: We offer our training content in a flexible format to suit your needs. Contact Us if you wish to know if we can accommodate your unique requirements.

Level: We are happy to customize course content to suit your skill level and learning goals. Contact us for a customized learning path.

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Postgresql Developer (PG-210)

This comprehensive course is meticulously designed for software developers and engineers eager to master PostgreSQL for building high-performance, scalable, and robust applications. Dive deep into PostgreSQL's advanced features, efficient SQL query writing, optimal database design principles, and powerful optimization techniques. Through intensive, hands-on labs, you will gain practical experience in implementing sophisticated data models, crafting highly optimized queries, and seamlessly integrating PostgreSQL databases with diverse software applications.

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We offer self-paced, mentored or
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Target Audience:

This course is ideal for professionals who:

  • Are Software Developers or Engineers aiming to leverage PostgreSQL for application development.
  • Work as Backend Developers on web, mobile, or enterprise applications and need to optimize database interactions.
  • Are Database Professionals looking to expand their skill set into application development with PostgreSQL.
  • Are IT Professionals interested in specializing in database-driven application development with a powerful open-source RDBMS.

Prerequisites:

  • A fundamental understanding of relational database concepts and basic SQL syntax.
  • Prior experience with software development in at least one programming language (e.g., Python, Java, Node.js, PHP, C#).
  • Familiarity with command-line tools and basic Linux environments is beneficial but not strictly required.

What You Will Learn (Learning Outcomes):

Upon completion of this course, participants will be able to:

  • Master PostgreSQL Fundamentals: Understand its architecture, installation, and management using psql.
  • Efficiently Manage Data: Work confidently with various PostgreSQL data types, including advanced types like JSON, XML, and Arrays.
  • Design Robust Databases: Apply best practices for schema design, table creation, and view management.
  • Craft Advanced SQL Queries: Utilize complex SQL functions, Common Table Expressions (CTEs), Window Functions, and Regular Expressions for sophisticated data retrieval and analysis.
  • Develop Server-Side Logic: Write, test, and debug Stored Procedures, Functions, and Triggers using PL/pgSQL.
  • Optimize Query Performance: Analyze and interpret query execution plans using EXPLAIN and implement effective indexing strategies.
  • Integrate PostgreSQL with Applications: Understand techniques for connecting applications, utilizing Foreign Data Wrappers (FDW), and handling various data formats.
  • Implement Performance Tuning: Identify and resolve performance bottlenecks in PostgreSQL databases and applications.
  • Apply Best Practices: Develop applications with PostgreSQL following industry best practices for scalability, maintainability, and security.

Benefits of Attending This Course:

Investing in this PostgreSQL Developer course offers significant advantages for your career and projects:

  • Enhanced Employability: Acquire highly sought-after skills in a leading open-source database, making you a more valuable asset in the job market.
  • Build High-Performance Applications: Learn to design and interact with PostgreSQL databases in ways that ensure your applications are fast, efficient, and scalable.
  • Solve Complex Data Problems: Gain the expertise to tackle intricate data manipulation and analysis challenges using advanced SQL and database programming.
  • Improve Existing Systems: Apply optimization techniques and best practices to improve the performance and reliability of current PostgreSQL-backed applications.
  • Practical & Hands-on Experience: Our lab-intensive approach ensures you gain practical, real-world skills that you can immediately apply in your professional role.
  • Cost-Effective Expertise: Access high-quality, expert-led training without the premium cost often associated with specialized database courses.
  • Flexible Learning: Choose a training format that fits your busy schedule, whether self-paced, mentored, or live instructor-led.

Course Outline: PostgreSQL Developer Training

Module 1: Getting Started with PostgreSQL

  • Installing PostgreSQL (various platforms)
  • Overview of PostgreSQL Architecture and Key Features
  • Managing PostgreSQL Instances (start/stop, configuration)
  • Exploring the psql Command-Line Interface and Essential Commands
  • Basic Database and User Management

Module 2: Understanding PostgreSQL Data Types

  • Numeric Types (Integer, Floating Point, SERIAL, BIGSERIAL)
  • Character and Text Types (VARCHAR, TEXT, CHAR)
  • Binary Data Types (BYTEA)
  • Working with Dates and Times (DATE, TIME, TIMESTAMP, INTERVAL)
  • Utilizing Boolean Values
  • Leveraging Arrays for Complex Data Management
  • Exploring Specialized Data Types (JSON, JSONB, XML, HSTORE)

Module 3: Data Manipulation and Storage

  • Understanding Sequences and Identity Columns for unique IDs
  • Effective Data Loading with the COPY Command
  • Creating and Managing Tables and Views (DDL)
  • Basic Data Modification: INSERT, UPDATE, DELETE
  • Transactions and Concurrency Control (ACID properties, MVCC basics)

Module 4: Indexing Strategies for Performance

  • Basics of PostgreSQL Indexing (B-tree, Hash, GIN, GIST)
  • Creating and Managing Indexes
  • Implementing Partial Indexes for Efficiency
  • Creating Expression-Based Indexes for Complex Queries
  • Understanding when and what to index

Module 5: Advanced Query Techniques

  • Mastering Advanced SQL Functions (String, Numeric, Date/Time, Aggregate)
  • Employing Common Table Expressions (CTE) for Readable and Modular Queries
  • Utilizing Window Functions for Analytical Queries (RANK, ROW_NUMBER, LEAD, LAG)
  • Harnessing Regular Expressions for Pattern Matching in Queries
  • Exploring Recursive Queries for Hierarchical Data
  • Set Operators (UNION, INTERSECT, EXCEPT)

Module 6: Programming with PL/pgSQL

  • Introduction to PL/pgSQL: Syntax and Structure
  • Writing and Using Stored Procedures and Functions
  • Declaring Variables and Using Control Structures (IF, LOOP, CASE)
  • Implementing Triggers for Automated Data Management
  • Error Handling and Exception Management
  • Using Cursors for Row-by-Row Processing
  • Dynamic SQL with PERFORM and EXECUTE

Module 7: Query Optimization and Performance Analysis

  • Understanding the PostgreSQL Query Optimizer's Role
  • Analyzing and Optimizing Queries for Performance
  • Using EXPLAIN and EXPLAIN ANALYZE to Understand Query Execution Plans
  • Interpreting Query Plan Output (Seq Scan, Index Scan, Joins)
  • Identifying Performance Bottlenecks

Module 8: Advanced Development Techniques & Integration

  • Working with Array Values and Composite Types in Applications
  • Integrating PostgreSQL with Various Programming Languages (e.g., Python, Java, Node.js - concepts and examples)
  • Using Foreign Data Wrappers (FDW) for Accessing External Data Sources
  • JSON/JSONB data manipulation and querying within applications

Module 9: Application Design, Monitoring and Tuning

  • Best Practices for Database Schema Design for Scalability and Maintainability
  • Strategies for Improving Application-Level Query Performance
  • Introduction to Database Monitoring Tools and Techniques
  • Basic Server-Side Tuning Parameters
  • Connection Pooling Strategies

Course Conclusion

  • Recap of Key Concepts and Best Practices
  • Applying Skills to Real-World Scenarios and Case Studies
  • Resources for Further Learning and Continuous Development

This course is designed to be highly interactive, blending theoretical lectures with extensive hands-on exercises and real-world case studies. This approach ensures participants not only grasp the concepts but also gain the practical proficiency required to apply their learning effectively in their professional roles as PostgreSQL developers.