POSTGRE.........

#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 Course Contents:

Brochure Download Request a Callback

Module 1: SQL Concepts & DB Design, Queries

Chapter 1: Introduction to Databases

Database Fundamentals
Database Objects (Entities)
Database Management System
DBMS and RDBMS Concepts
SQL Server, Oracle, Postgres
Advantages of Postgres

Chapter 2: Introduction to Postgres

Overview of PostgreSQL
History Of PostgreSQL
Versions and Benefits of PostgreSQL
PostgreSQL Architecture
Postgres Installation
PGAdmin Tool Usage

Chapter 3: SQL Fundamentals – 1

Introduction to SQL
DDL Statements
DML Statements
DQL Statements
Basic SQL syntax
Creating Databases, Tables
Data Insertions

Chapter 4: SQL Fundamentals – 2

DDL Statements
DML Statements
Data Insertion Types
Delete Versus Truncate
Querying data
SELECT, FROM, WHERE

Chapter 5: SQL Fundamentals – 3

PostgreSQL Concepts
DB Design Concepts
Table Insertion Concepts
DQL Statements
PG Admin Tool Usage

Chapter 6: Data Types

PostgreSQL data types
integer, string
date, time, etc.
Data Types & Sizes
Selecting Correct Data Type

Chapter 7: Postgres SQL Operators

Arithmetic Operators
Comparison Operators
Logical Operators
String Operators
Operators & Operands
Using Operators in SQL Queries

Chapter 8: Constraints, RDBMS – 1

Constraints & Validations
Primary Key Constraint
Unique Key Constraints
Foreign Key Constraints
Null, Not Null Constraints
Default Constraints

Chapter 9: Normal Forms & RDBMS – 2

Normal Forms
1:M Relationships
M:1 Relationships
M:1 Relationships
Self References
ER Models
Auto Increment Columns

Chapter 10: Joins & Queries

Joins: Table Comparisons
Inner Joins & Matching Data
Outer Joins: LEFT, RIGHT
Full Outer Joins & Aliases
Cross Join & Table Combination
Joining more than 2 tables

Chapter 11: Sub Queries

Sub Query Concept
Using Sub Queries with Joins
DISTINCT, UNION
UNION ALL
Order By Concept

Chapter 12: Group By Queries in SQL

Group By, Distinct Keywords
GROUP BY, HAVING
Cube( ) and Rollup( )
Sub Totals & Grand Totals
 Grouping( ) & Usage
Group By with Joins

Ch 13: Views & Data Analytics

Views: Realtime Usage
Storing SELECT in Views
DML, SELECT with Views
Using Views with Excel
Excel Pivot Tables
Excel Pivot Charts

Ch 14: Tools (psql & pgAdmin) and catalog

Using psql command line interface (CLI)
pgAdmin(GUI)
pg_catalog
information_schema

Ch 15: Tablespaces

Tablespace Introduction
Default Tablespace (pg_default & pg_global)
Local & Global Tablespaces
Create/Drop Tablespaces

Ch 16: Indexing and Query Tuning

Introduction to Indexes
B-Tree, Hash Indexes
Indexes Functions, Expressions
Indexes and Query Tuning Concepts

Ch 17: Introduction to PL/pgSQL

Overview of PL/pgSQL
History and evolution of PL/pgSQL
Features and benefits of PL/pgSQL
Installing and configuring PL/pgSQL
Realtime Time Use of PL/pgSQL

Ch 18: PL/pgSQL Basics

Variables and Data Types
Operators and Expressions
Control Structures (IF, LOOP, WHILE)
Functions and Procedures

Ch 19: PL/pgSQL Functions

Creating PgSQL Functions
Function types & Usage
Scalar, Aggregate Functions
Window Functions
Function parameters and return types

Ch 20: PL/pgSQL Stored Procedures

Procedure types in Postgres
Functions as Stored Procedures
Procedure parameters & return types
Using functions in SQL queries

Ch 21: PL/pgSQL Triggers & Exception Handling

Creating and managing triggers
Trigger types (before, after, instead of)
Using triggers to enforce data integrity
Understanding exceptions in PL/pgSQL
Creating and managing exceptions
Using exceptions to handle errors

Module 2: Postgres Advanced Concepts

Ch 22: Backup and Restore

Introduction to PostgreSQL Backups
Backup using pg_dump
psql utilities
Restore Concepts
pg_restore, psql utilities

Ch 23: MVCC (Multi-Version Concurrency Control)

What is MVCC in PostgreSQL?
How does MVCC work in PostgreSQL?
Key Data Structures in MVCC
Benefits of MVCC in PostgreSQL
Transaction ID Wraparound

Ch 24: Data Loading & FDW

Bulk Operations
Moving, Copying
Export, Import
Copy Table
pgloader
Foreign Data Wrappers (FDW)

Ch 25: Extensions

What are Extensions in PostgreSQL?
Types of Extensions in PostgreSQL
Examples of Extensions in PostgreSQL
How to Install/Uninstall Extensions in PostgreSQL

Ch 26: Common Table Expressions (CTE)

Types of CTEs
Examples with CTEs
Query Tuning Concepts
Benefits of CTEs
Realtime Use Cases

Module 3: Realtime Project (Banking)

Project Requirement
Project Implementation Plan
Project Solution
Project FAQs
Resume Optimization

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.