Skip to main content
postgre DBA Slider 1
previous arrow
next arrow

#PostgreSQL DBA

PostgreSQL DBA has seen a rapid growth of opportunities in the recent times. A PostgreSQL DBA (Database Administrator) specializes in managing PostgreSQL databases for performance and reliability. They handle tasks like installation, configuration, backup, recovery, and performance tuning. Learning PostgreSQL offers strong career opportunities in open-source database management.

Training Highlights

✅ PostgreSQL Installations, Issues
✅ Database Design & Schemas
✅ Backup, Restore & PITR
✅ High Availability & Replication
✅ Performance Tuning, Tools
✅ Security, Roles & Access
✅ Monitoring (pgAdmin, Scripts)
✅ Upgrades, Patching & Migrations
✅ 1:1 Mentorship, Interview Guidance

Modules We Learn:

✅ Module 1: PostgreSQL DBA
✅ Module 2: Azure PostgreSQL DBA
✅Module 3: Real Time Project

Course Duration: 8 Weeks

Play VideoPostgreSQL DBA with AzurePlay Video

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 is the PostgreSQL DBA Training?

This course teaches complete PostgreSQL Database Administration including installation, configuration, architecture, security, backup & restore, replication, HA/DR, tuning, migrations, Azure PostgreSQL DBA, and a real-time project.

Who should join this PostgreSQL DBA course?

DBAs, Developers, System Administrators, Data Analysts, Data Engineers, IT Professionals, Students, or anyone wanting to start a career in the Database Platform.

Is this course beginner-friendly?

Yes. The training starts from basics of PostgreSQL, SQL operations, architecture, and gradually moves into advanced DBA, HA, DR, and Azure cloud administration.

What are the training plans available?

Plan A: PostgreSQL DBA (Chapters 1–30) – 6 Weeks
Plan B: PostgreSQL + Azure PostgreSQL DBA (Chapters 1–45) – 8 Weeks

What system requirements do I need?

8GB RAM, 10GB free disk space, and any OS such as Linux, Windows, macOS, FreeBSD, Solaris. Full installation guidance is provided.

What PostgreSQL basics will I learn?

PostgreSQL introduction, architecture, versions, features, installation on Windows/Linux, configuration files, directory structure, and cluster management.

Do you teach PostgreSQL Architecture in detail?

Yes. Postmaster process, utility processes, memory components, shared buffers, and full DB engine architecture.

Will I learn SQL operations inside PostgreSQL?

Yes. Create/Drop Database, Users, Schemas, CRUD operations, constraints, functions, operators, and PostgreSQL tools like psql and pgAdmin.

Is Tablespace management covered?

Yes. Local/global tablespaces, temporary tablespaces, creation, and storage-level management

What backup and restore methods will I learn?

pg_dump, pg_restore, psql backups, offline/online backups, pg_basebackup, pgBackRest, and PITR (Point-In-Time-Recovery).

Do you teach MVCC and Transaction Management?

Yes. MVCC concepts, transaction snapshots, vacuum, analyze, statistics, autovacuum, and wraparound handling.

Will I learn Performance Tuning?

Yes. Query tuning (EXPLAIN, ANALYZE), indexing (B-Tree, Hash, GIN, BRIN), subquery optimization, partitioning, configuration tuning, monitoring, and hardware tuning.

Are Data Loading tools covered?

Yes. COPY, pgloader, FDW (Foreign Data Wrappers), migrations, exporting, and importing large datasets.

Do you teach High Availability & Replication?

Yes. Streaming replication, logical replication, manual failover, auto-failover, switchover, pgpool, repmgr, Patroni, and full HA/DR strategies.

Will I learn PostgreSQL partitioning and server parameter tuning?

Yes. Server parameters, performance tuning options, and partitioning methods for large datasets.

Do you cover PostgreSQL upgrades and migrations?

Yes. Manual migrations, pg_dump/pg_restore, migration tools, version upgrades, common issues, and solutions.

Is Monitoring included in the training?

Yes. Monitoring with Grafana, pg_stat_statements, pgBadger, and performance dashboards.

Does this course include Azure PostgreSQL DBA?

Yes. Azure cloud fundamentals, Azure PostgreSQL services, creation of objects, CRUD operations, migrations (DMS/ADF), automated backups, PITR restores, tuning, and HA/DR in Azure.

Is there a real-time PostgreSQL DBA project included?

Yes. Requirements, design, implementation, HA/DR, performance tuning, monitoring, and resume preparation with project FAQs.

What training modes are available?

Live Online Training, Self-Paced Videos, Real-Time Labs, Resume Guidance, Mock Interviews, and 1-on-1 Mentorship.

SQL SCHOOL vs Other Institutes

Training Modes

LIVE Online Training

Instructor Led

Self Paced Videos

 On-Demand

Corporate Training

With 100% Hands-On

Why Choose SQL School

  • 100% Real-Time and Practical
  • ISO 9001:2008 Certified
  • Concept wise FAQs
  • TWO Real-time Case Studies, One Project
  • Weekly Mock Interviews
  • 24/7 LIVE Server Access
A man smiling and giving a thumbs up while holding a notebook.
  • Realtime Project FAQs
  • Course Completion Certificate
  • Placement Assistance
  • Job Support
  • Realtime Project Solution
  • MS Certification Guidance