Mastering SQL using Postgresql

Learn key SQL concepts such as how to create database objects, write effective queries and many more

What you will learn

Setup Postgres Database using Docker

Connect to Postgres using different interfaces such as psql, SQL Workbench, Jupyter with SQL magic etc.

Understand utilities to load the data

Performing CRUD or DML Operations

Writing basic SQL Queries such as filtering, joins, aggregations, sorting etc

Creating tables, constraints and indexes

Different partitioning strategies while creating tables

Using pre-defined functions provided by Postgresql

Writing advanced SQL queries using analytic functions

Description

About Postgresql

Postgresql is one of the leading datatabase. It is an open source database and used for different types of applications.

Web Applications
Mobile Applications
Data Logging Applications

Even though it is relational database and best suited for transactional systems (OLTP), it’s flavors such as Redshift are extensively used for Analytical or Decision Support Systems.

Course Details

This course is primarily designed to go through basic and advanced SQL using Postgres Database. You will be learning following aspects of SQL as well as Postgres Database.

Setup Postgres Database using Docker
Connect to Postgres using different interfaces such as psql, SQL Workbench, Jupyter with SQL magic etc.
Understand utilities to load the data
Performing CRUD or DML Operations
Writing basic SQL Queries such as filtering, joins, aggregations, sorting etc
Creating tables, constraints and indexes
Different partitioning strategies while creating tables
Using pre-defined functions provided by Postgresql
Writing advanced SQL queries using analytic functions

Desired Audience

Here are the desired audience for this course.

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College students and entry level professionals to get hands on expertise with respect to SQL to be prepared for the interviews.
Experienced application developers to understand key aspects of Databases to improve their productivity.
Data Engineers and Data Warehouse Developers to understand the relevance of SQL and other key concepts.
Testers to improve their query writing abilities to validate data in the tables as part of running their test cases.
Business Analysts to write ad-hoc queries to understand data better or troubleshoot data quality issues.
Any other hands on IT Professional who want to improve their query writing and tuning capabilities.

Developers from non CS or IT background at times struggle in writing queries and this course will provide required database skills to take their overall application development skills to next level.

Key Objectives

The course is designed for the professionals to achieve these key objectives related to databases using Postgresql.

Ability to interpret data models.
Using database IDEs to interact with databases.
Data loading strategies to load data into database tables.
Write basic as well as advanced SQL queries.
Ability to create tables, partition tables, indexes etc.
Understand and use constraints effectively based up on the requirements.
Effective usage of functions provided by Postgresql.
Ability to write queries using advanced features such as Analytic Functions
Differences between RDBMS and Data Warehouse concepts by comparing Postgresql with Redshift.

“This course is primarily designed to gain key database skills for application developers, data engineers, testers, business analysts etc.”

Recommended Training Approach

Here are the details related to the training approach.

It is self paced with reference material, code snippets and videos.
One can use existing Postgres Database or setup their own environment using Docker (look at bonus material).
All sections will be available from Day 1. However, we recommend to set a target between 1 to 2 sections per week.
It is highly recommended to take care of the exercises at the end to ensure that you are able to meet all the key objectives for each module.
Support will be provided using Udemy Platform. Just send us the question and our team will respond. Please do not send personal messages in Udemy.

English

language

Content

Introduction – Resources and Tips

Must Watch – Introduction

For Udemy new comers – Interface to take the course

For Udemy new comers – Navigating through the course

Must Watch – Resources for the course

Resources – PDF

Getting Started

Connecting to Database

Using psql

Setup Postgres using Docker

Setup SQL Workbench

SQL Workbench and Postgres

SQL Workbench Features

Data Loading Utilities

Loading Data – Docker

Exercise – Loading Data

DML or CRUD Operations

Database Operations – Overview

CRUD Operations

Creating Table

Inserting Data

Updating Data

Deleting Data

Overview of Transactions

Exercise – Database Operations

Writing Basic SQL Queries

Standard Transformations

Overview of Data Model

Define Problem Statement – Daily Product Revenue

Preparing Tables

Selecting or Projecting Data

Filtering Data

Joining Tables – Inner

Joining Tables – Outer

Performing Aggregations

Sorting Data

Solution – Daily Product Revenue

Exercises – Basic SQL Queries

Creating Tables and Indexes

DDL – Data Definition Language

Overview of Data Types

Adding or Modifying Columns

Different Types of Constraints

Managing Constraints

Indexes on Tables

Indexes for Constraints

Overview of Sequences

Truncating Tables

Dropping Tables

Exercises – Managing Database Objects – Pre-requisites

Exercise 1 – Adding Sequences

Exercise 2 – Adding Foreign Keys to Tables

Partitioning Tables and Indexes

Overview of Partitioning

List Partitioning

Managing Partitions – List

Manipulating Data

Range Partitioning

Managing Partitions – Range

Repartitioning – Range

Hash Partitioning

Managing Partitions – Hash

Usage Scenarios

Sub Partitioning

Exercise – Partitioning Tables

Pre-defined Functions

Overview of Pre-Defined Functions

String Manipulation Functions

Date Manipulation Functions

Overview of Numeric Functions

Data Type Conversion

Handling Null Values

Using CASE and WHEN

Exercises – Pre-Defined Functions – Pre-requisites

Exercise 1 – Get number of users created per year

Exercise 2 – Get the day name

Exercise 3 – Get user details added in 2019

Exercise 4 – Get user count by gender

Exercise 5 – Get last 4 digits of unique ids

Exercise 6 – Get user count by country code

Writing Advanced SQL Queries

Overview of Views

Named Queries – Using WITH Clause

Overview of Sub Queries

CTAS – Create Table As Select

Advanced DML Operations

Merging or Upserting Data

Overview of Analytic Functions

Analytic Functions – Aggregations

Cumulative or Moving Aggregations

Analytic Functions – Windowing

Analytic Functions – Ranking

Analytic Functions – Filtering

Ranking and Filtering – Recap

Exercises – Analytics Functions – Prerequisites

Bonus Material – Setup Jupyter Lab on Ubuntu VM

Signing for GCP

Overview of GCP Web Console

Overview of GCP Pricing

Provision Ubuntu VM from GCP

Setup Docker

Validating Python

Setup Jupyter Lab

Bonus Material – Setup Postgres Database on Ubuntu VM

Introduction – Setup Postgres Database