PostgreSQL Tutorial for Beginners: Learn PSQL in 3 Days

Details

What is PostgreSQL?

PostgreSQL is an open-source database management system for enterprise-class database applications. It supports both SQL and JSON for relational and non-relational queries for extensibility and SQL compliance. It also offers advanced data types and performance optimization features to store and scale complicated database workloads. It is also known as Postgres.

Training Summary

This PostgreSQL tutorial for beginners is designed to learn PostgreSQL basics to advance topics like creating a database, create a table, drop the database, drop table, select table, insert a record, update record, delete a record, order by, group by, triggers, substring, database keys, PSQL commands, etc. This PostgreSQL tutorials guide will help you with PostgreSQL learning and PostgreSQL basics. The advance stuff like Joins, View, Triggers, etc. are also covered in this PSQL tutorial.

What should I know?

This Postgres database tutorial guide is designed for beginners with little or no PostgreSQL Experience. This PostgreSQL training will help you understand all the basics of PostgreSQL.

Course Syllabus

Introduction

Tutorial What is PostgreSQL? Introduction, History, Features, Advantages
Tutorial How to Download and Install PostgreSQL on Windows
Tutorial PostgreSQL Data Types

Advanced Stuff

Tutorial PostgreSQL CREATE DATABASE with Example
Tutorial PostgreSQL DROP DATABASE with Example
Tutorial How to Create & Drop Table in PostgreSQL [Example]
Tutorial PostgreSQL Create, Alter, Add, Drop USER
Tutorial PostgreSQL Select: Distinct, Order By, Limit
Tutorial PostgreSQL Array: Functions, Type, Example
Tutorial PostgreSQL BETWEEN with Example
Tutorial PostgreSQL IN, Not IN with Examples
Tutorial PostgreSQL LIKE, Not Like, Wildcards (%, _ ) Examples
Tutorial PostgreSQL EXISTS with Examples
Tutorial PostgreSQL DELETE Row matching 1/2 Condition, Exits Example
Tutorial PostgreSQL ALTER Table: ADD Column, Rename Column/Table Examples
Tutorial PostgreSQL SUBSTRING() with Example
Tutorial PostgreSQL Union, Union ALL with Examples
Tutorial PostgreSQL Joins: Inner, Outer, Left, Right, Natural with Examples
Tutorial PostgreSQL Create View with Example
Tutorial PostgreSQL Trigger: Create, Drop Example

Must Know!

Tutorial PostgreSQL vs MySQL: What's the Difference?

FAQ

How to Install PostgreSQL

Following are the steps to download and install PostgreSQL:

  • Step 1) Go to https://www.postgresql.org/download and select your preferred operating system
  • Step 2) Open the installer .exe file to start installing
  • Step 3) Select your preferred language
  • Step 4) Locate the path to install the PostgreSQL software on your system
  • Step 5) Select the components you want to install
  • Step 6) Set the superuser password and make a note of it
  • Step 7) Give the port number as the default
  • Step 8) Click the Next button to start the installation

How to Start PostgreSQL

Following are the steps to start using PostgreSQL:

  • Step 1) Go to Start Menu and search pgAdmin 4
  • Step 2) The pgAdmin homepage will open
  • Step 3) Click on Servers > PostgreSQL 10 in the left tree
  • Step 4) Enter superuser password set during installation and click the OK button
  • Step 5) The PostgreSQL dashboard will open

Uses of PostgreSQL

Following are the popular uses of PostgreSQL:

  • Financial Industry:

    PostgreSQL is an ideal DBMS system for the financial industry.

  • Government GIS data:

    PostgreSQL offers powerful GIS, called "PostGIS" which provides hundreds of functions to process geometric data in different formats.

  • Manufacturing:

    PostgreSQL is also used in industrial manufacturing to speed up the overall business process.

  • Web technology and NoSQL:

    PostgreSQL works fine with all modern web frameworks like Django, Node.js, Hibernate, PHP, etc. It offers replication capabilities to scale out many database servers.

  • Scientific data:

    PostgreSQL offers wonderful analytical capabilities and a powerful SQL engine. This helps you to manage a large amount of data with ease.