PostgreSQL
@amitmund
July 09, 2026
PostgreSQL Mastery
The Complete Beginner to Advanced Guide to PostgreSQL, Relational Databases, SQL, Performance Tuning, High Availability, Replication, Enterprise Database Administration, Cloud Databases, and Production PostgreSQL
Course Goal
This course is designed to take you from absolute beginner to production-ready Database Administrator (DBA), Backend Developer, DevOps Engineer, Data Engineer, Cloud Engineer, Platform Engineer, or Site Reliability Engineer (SRE).
By the end of this learning track, you will be able to:
- Master PostgreSQL Fundamentals
- Design Efficient Relational Databases
- Write Advanced SQL Queries
- Optimize Database Performance
- Configure Replication & High Availability
- Secure PostgreSQL Databases
- Manage Enterprise Database Clusters
- Deploy PostgreSQL in Docker & Kubernetes
- Automate Database Administration
- Prepare for PostgreSQL & Database Interviews
Prerequisites
- Basic Computer Knowledge
- Linux Fundamentals (Recommended)
- Basic Networking
- Basic Programming Knowledge (Helpful)
Course Structure
Module 1 — PostgreSQL Fundamentals
Chapter 1 — Introduction to PostgreSQL
- Learning Objectives
- What is PostgreSQL?
- History of PostgreSQL
- Why PostgreSQL?
- PostgreSQL Features
- SQL vs NoSQL
- PostgreSQL Editions
- Enterprise Use Cases
- PostgreSQL Terminology
Chapter 2 — Database Fundamentals
- Relational Databases
- ACID Properties
- Transactions
- Tables
- Rows
- Columns
- Constraints
- Keys
- Normalization
Chapter 3 — PostgreSQL Architecture
- Server Process
- Client Process
- Shared Memory
- WAL (Write-Ahead Logging)
- Background Workers
- MVCC
- Query Planner
- Storage Engine
- Internal Working
Chapter 4 — Installation & Setup
- Linux Installation
- Windows Installation
- macOS Installation
- Docker Installation
- Docker Compose
- Kubernetes Deployment
- PostgreSQL Configuration
- Verify Installation
Chapter 5 — First Database
- Create Database
- Create User
- Create Schema
- Create Tables
- Insert Data
- Query Data
- Delete Data
- Troubleshooting
Module 2 — SQL Fundamentals
Chapter 6 — SQL Basics
Chapter 7 — SELECT
Chapter 8 — INSERT
Chapter 9 — UPDATE
Chapter 10 — DELETE
Chapter 11 — WHERE
Chapter 12 — ORDER BY
Chapter 13 — LIMIT & OFFSET
Module 3 — Database Design
Chapter 14 — Tables
Chapter 15 — Data Types
Chapter 16 — Constraints
Chapter 17 — Primary Keys
Chapter 18 — Foreign Keys
Chapter 19 — Indexes
Chapter 20 — Views
Chapter 21 — Materialized Views
Module 4 — Advanced SQL
Chapter 22 — JOIN
Chapter 23 — GROUP BY
Chapter 24 — HAVING
Chapter 25 — Subqueries
Chapter 26 — CTE (WITH)
Chapter 27 — Window Functions
Chapter 28 — UNION
Chapter 29 — CASE
Chapter 30 — JSON & JSONB
Module 5 — PostgreSQL Objects
Chapter 31 — Schemas
Chapter 32 — Sequences
Chapter 33 — Functions
Chapter 34 — Stored Procedures
Chapter 35 — Triggers
Chapter 36 — Extensions
Chapter 37 — Domains
Chapter 38 — ENUM Types
Module 6 — Transactions & Concurrency
Chapter 39 — Transactions
Chapter 40 — COMMIT & ROLLBACK
Chapter 41 — Savepoints
Chapter 42 — Isolation Levels
Chapter 43 — MVCC
Chapter 44 — Locks
Chapter 45 — Deadlocks
Module 7 — Performance Tuning
Chapter 46 — Query Planner
Chapter 47 — EXPLAIN
Chapter 48 — EXPLAIN ANALYZE
Chapter 49 — Index Optimization
Chapter 50 — VACUUM
Chapter 51 — ANALYZE
Chapter 52 — Partitioning
Chapter 53 — Query Optimization
Module 8 — Backup & Recovery
Chapter 54 — pg_dump
Chapter 55 — pg_restore
Chapter 56 — Base Backup
Chapter 57 — WAL Archiving
Chapter 58 — Point-in-Time Recovery (PITR)
Chapter 59 — Disaster Recovery
Chapter 60 — Backup Strategies
Module 9 — Replication & High Availability
Chapter 61 — Streaming Replication
Chapter 62 — Logical Replication
Chapter 63 — Physical Replication
Chapter 64 — Failover
Chapter 65 — Patroni
Chapter 66 — PgBouncer
Chapter 67 — Load Balancing
Chapter 68 — High Availability Design
Module 10 — Security
Chapter 69 — Authentication
Chapter 70 — pg_hba.conf
Chapter 71 — SSL/TLS
Chapter 72 — Roles & Permissions
Chapter 73 — Row-Level Security (RLS)
Chapter 74 — Auditing
Chapter 75 — Encryption
Chapter 76 — Security Best Practices
Module 11 — Administration
Chapter 77 — Configuration Files
Chapter 78 — Logging
Chapter 79 — Monitoring
Chapter 80 — pgAdmin
Chapter 81 — psql CLI
Chapter 82 — Extensions
Chapter 83 — Maintenance Tasks
Module 12 — PostgreSQL Ecosystem
Chapter 84 — pgAdmin
Chapter 85 — PostGIS
Chapter 86 — TimescaleDB
Chapter 87 — Citus
Chapter 88 — PgBouncer
Chapter 89 — Pgpool-II
Chapter 90 — Foreign Data Wrappers
Module 13 — Cloud & DevOps
Chapter 91 — Docker
Chapter 92 — Docker Compose
Chapter 93 — Kubernetes
Chapter 94 — Helm
Chapter 95 — AWS RDS
Chapter 96 — Azure Database for PostgreSQL
Chapter 97 — Google Cloud SQL
Chapter 98 — Terraform Automation
Module 14 — Enterprise Use Cases
Chapter 99 — Web Applications
Chapter 100 — Financial Systems
Chapter 101 — ERP Systems
Chapter 102 — Data Warehousing
Chapter 103 — GIS Applications
Chapter 104 — Analytics Platforms
Chapter 105 — Microservices Databases
Module 15 — Real-World Projects
Chapter 106 — Inventory Management System
Chapter 107 — Banking Database
Chapter 108 — Hospital Management System
Chapter 109 — E-Commerce Platform
Chapter 110 — Employee Management System
Chapter 111 — Multi-Tenant SaaS Database
Chapter 112 — Enterprise PostgreSQL Cluster
Module 16 — Interview Preparation
Chapter 113 — Beginner Questions
Chapter 114 — Intermediate Questions
Chapter 115 — Advanced Questions
Chapter 116 — SQL Challenges
Chapter 117 — Query Optimization Interviews
Chapter 118 — DBA Scenario-Based Interviews
Chapter 119 — Mock Interviews
Module 17 — Bonus
Chapter 120 — PostgreSQL Tips & Tricks
Chapter 121 — Hidden Features
Chapter 122 — Productivity Hacks
Chapter 123 — Common Workarounds
Chapter 124 — Enterprise Best Practices
Chapter 125 — PostgreSQL Roadmap
Every Chapter Includes
Each chapter follows the same professional structure:
- Learning Objectives
- Prerequisites
- Theory
- Internal Working
- PostgreSQL Architecture
- Storage Engine Internals
- MVCC Deep Dive
- Query Execution Flow
- Mermaid Diagrams
- ASCII Diagrams
- Flowcharts
- SQL Examples
- psql CLI Commands
- pgAdmin Examples
- Stored Procedure Examples
- Trigger Examples
- Function Examples
- JSON & JSONB Examples
- Docker Examples
- Kubernetes Examples
- Helm Examples
- Terraform Examples
- Python Integration
- Production Examples
- Enterprise Case Studies
- Best Practices
- Performance Optimization
- Security Notes
- Common Mistakes
- Troubleshooting Guide
- FAQs
- Hands-on Labs
- Home Lab Exercises
- Mini Projects
- Capstone Projects
- Exercises
- Quiz
- Interview Questions
- Challenge Problems
- Cheat Sheet
- Summary
- References
- Further Reading
- Revision Notes
- Glossary
Hands-on Labs
- Install PostgreSQL on Linux
- Create Your First Database
- Design Relational Tables
- Write CRUD Operations
- Build Complex SQL Queries
- Create Stored Procedures & Triggers
- Optimize Queries using EXPLAIN ANALYZE
- Configure Replication
- Set Up PgBouncer Connection Pooling
- Deploy PostgreSQL with Docker
- Deploy PostgreSQL on Kubernetes
- Configure Automated Backups
- Restore from Point-in-Time Recovery
- Secure PostgreSQL with SSL & RLS
- Build a Highly Available PostgreSQL Cluster
Capstone Projects
- Banking Management System
- Hospital Information System
- Enterprise HR Management Database
- E-Commerce Backend Database
- Multi-Tenant SaaS Database
- GIS Mapping Platform with PostGIS
- Time-Series Analytics with TimescaleDB
- Kubernetes PostgreSQL Cluster
- Enterprise High Availability Database Platform
- Production-Ready PostgreSQL Infrastructure
PostgreSQL Ecosystem Covered
Core PostgreSQL
- PostgreSQL Server
- psql CLI
- pgAdmin
- WAL
- MVCC
- Query Planner
- Extensions
Extensions
- PostGIS
- TimescaleDB
- Citus
- pg_stat_statements
- pgcrypto
- uuid-ossp
- hstore
High Availability
- Streaming Replication
- Logical Replication
- Patroni
- PgBouncer
- Pgpool-II
Integrations
- Docker
- Kubernetes
- Helm
- Terraform
- Python
- Django
- Flask
- FastAPI
- Java
- Node.js
- Go
- AWS RDS
- Azure Database for PostgreSQL
- Google Cloud SQL
Certification Preparation
This course prepares you for:
- PostgreSQL Professional Certifications
- EDB PostgreSQL Certifications
- AWS Database Specialty
- Azure Database Certifications
- Google Cloud Database Engineer
- DevOps & SRE Interviews
- Backend Developer Interviews
- Database Administrator (DBA) Interviews
Estimated Course Size
- 17 Modules
- 125 Chapters
- 4,500+ Pages
- 3,000+ SQL & PostgreSQL Examples
- 700+ Architecture Diagrams
- 300+ Hands-on Labs
- 80+ Enterprise Projects
- Production Case Studies
- Complete Interview Preparation
Final Outcome
After completing this learning track, you will be able to:
- Design, build, optimize, and manage enterprise-grade PostgreSQL databases
- Master SQL, advanced querying, transactions, indexing, and performance tuning
- Configure replication, backups, disaster recovery, and high availability
- Secure PostgreSQL deployments with authentication, encryption, and role-based access
- Deploy PostgreSQL on Linux, Docker, Kubernetes, and major cloud platforms
- Build scalable database solutions for web applications, analytics, GIS, SaaS, and enterprise systems
- Work confidently as a Database Administrator (DBA), Backend Developer, Data Engineer, DevOps Engineer, Platform Engineer, Cloud Engineer, or Site Reliability Engineer (SRE)
- Successfully pass PostgreSQL, SQL, DBA, Backend Development, DevOps, and Cloud technical interviews