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#PostgreSQL Developer

PostgreSQL Developer has become one of the most sought-after roles in modern data-driven organizations. A PostgreSQL Developer specializes in designing, developing, and optimizing database applications using the powerful features of PostgreSQL. They work on creating efficient SQL queries, stored procedures, and data models to ensure high performance and scalability.

Training Highlights

✅ PostgreSQL, Advanced Joins
✅ Stored Procedures & Functions
✅ Triggers, Views & CTEs
✅ JSON, Arrays & Data Types
✅ Query Optimization, Indexes
✅ Transactions & Concurrency
✅ PL/pgSQL Programming
✅ Extensions (PostGIS, hstore)
✅ Real-Time PostgreSQL Projects
✅ 1:1 Mentorship & Career Prep

Modules We Learn

✅ Module 1: SQL Concepts & DB Design, Queries
✅ Module 2: Postgres Advanced Concepts
✅ Module 3: Realtime Project (Banking)

Course Duration: 4 Weeks

Postgre SQL DBA Course Contents:

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Module 1: PostgreSQL DBA Concepts

Ch 1: PostgreSQL Introduction

Database Concepts
DBA Job Roles
PostgreSQL DBMS
Postgres Features
Postgres Editions

Ch 2: Installation & Setup

Installing PostgreSQL on Linux
Installing PostgreSQL on Windows
Package-based Installation
Source Installation
PostgreSQL Directory Structure
Initial Cluster Creation
Start, Stop & Restart using pg_ctl
Managing PostgreSQL using systemctl

Ch 3: Database Administration

Creating Databases
Managing Schemas
Tablespaces
Roles & Users
Privileges & Permissions
Default Privileges

Ch 4: Configuration Management

postgresql.conf
pg_hba.conf
pg_ident.conf
Configuration Reload vs Restart
Parameter Classification
Memory Configuration
Logging Configuration

Ch 5: Security Management

Authentication Methods
SSL Basics

Ch 6: PostgreSQL Architecture

PostgreSQL Process Architecture
PostgreSQL Storage Architecture
System Catalogs

Ch 7: Tools & Utilities

psql
pgAdmin
createdb
dropdb
createuser
dropuser

Ch 8: Backup & Recovery

Logical Backup
pg_dump
pg_restore
pg_dumpall
Physical Backup
Base Backup (pg_basebackup)

Ch 9: WAL Fundamentals

WAL Architecture
WAL Files
Checkpoints
WAL Configuration

Ch 10: Routine Maintenance

VACUUM
VACUUM FULL
ANALYZE
AUTOVACUUM
REINDEX
CLUSTER
MVCC
Maintenance Best Practices

Ch 11: Monitoring

pg_stat_activity
pg_stat_database
pg_locks
pg_stat_user_tables
pg_stat_statements
Session Monitoring

Ch 12: Extensions

pg_stat_statements
pg_buffercache
postgres_fdw
pg_repack
pgstattuple
uuid-ossp

Module 2: PostgreSQL Administration in Cloud (Azure)

Ch 13: Cloud Fundamentals

IaaS
PaaS
SaaS
Managed PostgreSQL

Ch 14: Introduction to Azure Database for PostgreSQL

Overview of Azure Database Services
PostgreSQL on Azure Architecture
Deployment Models

Ch 15: Azure Postgres DBA: Flexible Server

Creating Flexible Server
Compute and Storage Options
Networking Configuration
Start/Stop Server
Cost Optimization

Ch 16: Azure Postgres DBA: Single Server

Single Server Architecture
Features and Limitations
Single Server vs Flexible Server

Ch 17: Azure Postgres DBA: Backups

Automated Backups
Backup Retention Period
Point-in-Time Recovery (PITR)
Restore Operations
Backup Monitoring
Backup Best Practices

Ch 18: Azure Postgres DBA: Migration

Azure Database Migration Service (DMS)
Migration using pg_dump and pg_restore

Ch 19: Azure Postgres DBA: Monitoring

Metrics and Alerts
Performance Dashboard
Query Performance Insights

Ch 20: Azure Postgres DBA: High Availability and Replication

HA Architecture
Read Replica
Replica Creation
Failover Process
Disaster Recovery (DR)

Module 3: PostgreSQL Advanced Administration

Ch 21: Advanced Backup & Recovery Strategies

WAL Archiving
Point-in-Time Recovery (PITR)
Recovery Targets
pgBackRest/Barman
Backup Scheduling using Cron Jobs

Ch 22: Performance Tuning – 1

PostgreSQL Optimizer
Query Planner
EXPLAIN
EXPLAIN ANALYZE
Buffer Usage

Ch 23: Performance Tuning – 2

Cost Estimation
Slow Query Analysis
Index Optimization
Execution Plans
Join Strategies
Parallel Queries

Ch 24: Indexing

B-tree
Hash
GIN
GiST
BRIN
Expression Indexes
Partial Indexes
Covering Indexes (INCLUDE)
Concurrent Index Creation

Ch 25: Vacuum Internals

Dead Tuples
Autovacuum Internals
Bloat Analysis

Ch 26: Locking & Wait Events

Lock Types
Deadlocks
Blocking Sessions
Types of Wait Events
Transaction Isolation Levels

Ch 27: Replication

Streaming Replication
Logical Replication
Synchronous Replication
Asynchronous Replication
Cascading Replication
Replication Lag Monitoring

Ch 28: High Availability

Failover
Switchover
Automatic Failover (pgpool-II / Patroni)
Disaster Recovery (DR)

Ch 29: Partitioning

Range
List
Hash
Partition Pruning

Ch 30: Upgrades

Minor Version Upgrade
Major Version Upgrade
pg_upgrade
Best Practices Upgrade
Rollback Planning

Ch 31: Enterprise Monitoring

Prometheus
Grafana
pgBadger

What topics are covered in the PostgreSQL Developer Training at SQL School?

The course covers SQL fundamentals, PostgreSQL architecture, advanced joins, stored procedures, triggers, views, CTEs, PL/pgSQL programming, query optimization, indexing, MVCC, extensions like PostGIS and hstore, JSON/array data types, backup & restore, and foreign data wrappers — along with a real-time Banking project.

How long is the PostgreSQL Developer course?

The PostgreSQL Developer Training is a 4-week course structured across 3 modules: SQL Concepts & DB Design, Postgres Advanced Concepts, and a Real-Time Banking Project.

Is this course suitable for beginners with no prior database knowledge?

Yes. The course starts from database fundamentals — covering DBMS, RDBMS concepts, and basic SQL syntax — making it accessible for beginners, while also progressing into advanced topics like PL/pgSQL, concurrency, and query tuning for experienced learners.