SQL and PostgreSQL: The Complete Developer's Guide

BY
Udemy

Learn the concepts involved with SQL and PostgreSQL to become a professional SQL developer.

Mode

Online

Fees

₹ 599 4099

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

Stephen Grider, an engineering architect, and instructor created the SQL and PostgreSQL: The Complete Developer's Guide certification course, which is offered by Udemy for those who are looking for a thorough training programme that can assist them in mastering the concepts and methodologies related to databases using the capabilities of SQL and PostgreSQL to increase their knowledge and advance in their professional careers.

SQL and PostgreSQL: The Complete Developer's Guide online course by Udemy is a 22-hour long program that contains 10 articles, 46 downloadable resources, and 24 coding exercises to help individuals in gaining practical knowledge by putting their newly acquired abilities to use. SQL and PostgreSQL: The Complete Developer's Guide online training discusses topics like relational databases, database administration, database design, data migration, schema migration, design patterns, and data access patterns as well as explains the strategies for integrating PostgreSQL with front-end applications utilizing APIs.

The highlights

  • Certificate of completion
  • Self-paced course
  • 22 hours of pre-recorded video content
  • 10 articles 
  • 46 downloadable resources
  • 24 coding exercises

Program offerings

  • Online course
  • Learning resources
  • 30-day money-back guarantee
  • Unlimited access
  • Accessible on mobile devices and tv

Course and certificate fees

Fees information
₹ 599  ₹4,099
certificate availability

Yes

certificate providing authority

Udemy

What you will learn

Database knowledge Sql knowledge

After completing the SQL and PostgreSQL: The Complete Developer's Guide online certification, individuals will be introduced to the concepts of SQL using PostgreSQL as well as will acquire knowledge of the advanced concepts associated with database administration and relational databases. In this SQL certification, individuals will explore the fundamentals of database design and data migration as well as will master the knowledge of the functionalities of design patterns, and data access patterns. In this PostgreSQL course, individuals will also learn about the strategies involved with schema migration, data migration, query tuning, concurrency issues, and race conditions.

The syllabus

Simple - But Powerful - SQL Statements

  • Join Our Community!
  • Course Resources
  • What is PostgreSQL All About?
  • Database Design
  • Database Terminology
  • Creating Tables
  • Analyzing CREATE TABLE
  • Inserting Data Into a Table
  • Retrieving Data with Select
  • Create, Insert, and Select!
  • Calculated Columns
  • Calculating Phone Revenue
  • Using Calculated Columns
  • Exercise Solution
  • String Operators and Functions

Filtering Records

  • Filtering Rows with "Where"
  • More on the "Where" Keyword
  • Compound "Where" Clauses
  • A "Where" Exercise Overview
  • Practicing Where Statements
  • A "Where" Solution
  • "Where" With Lists
  • A More Challenging 'Where'
  • A "Where" With Lists Solution
  • Calculations in "Where" Clauses
  • Trying Calculations in Where Clauses
  • Solving Calculations
  • Updating Rows
  • Deleting Rows
  • Try Updating Records In a Table!
  • A Solution for Updating Rows
  • Practice Deleting Records
  • Solution for Deleting Rows

Working with Tables

  • The Plan Moving Forward
  • Approaching Database Design
  • Let's Design Some Schema
  • One-to-Many and Many-to-One Relationships
  • A 'Has One' or 'Has Many'?
  • One-to-One and Many-to-Many Relationships
  • Identifying One-to-One and Many-to-Many Relationships
  • Primary Keys and Foreign Keys
  • Understanding Foreign Keys
  • Foreign Keys; How Do They Work?
  • Auto-Generated ID's
  • Creating Foreign Key Columns
  • Running Queries on Associated Data
  • Exercise Overview
  • Creating and Using Foreign Keys
  • Foreign Key Creation Solution
  • Foreign Key Constraints Around Insertion
  • Constraints Around Deletion
  • Commands You’ll Need for the Next Video
  • Testing Deletion Constraints
  • Setting Foreign Keys to Null on Delete
  • What Happens On Delete?
  • Adding Some Complexity

Relating Records with Joins

  • Adding Some Data
  • Queries with Joins and Aggregations
  • Joining Data from Different Tables
  • Another Quick Join
  • Exercise Overview
  • Practice Joining Data
  • A Joinful Solution
  • Alternate Forms of Syntax
  • Missing Data in Joins
  • Why Wasn't It Included
  • Four Kinds of Joins
  • Each Join in Practice
  • Does Order Matter?
  • Test Your Joining Knowledge
  • Exercise Overview
  • Joins, Joins, Join!
  • Two Possible Solutions
  • Where with Join
  • Three Way Joins
  • A Bit of Practice
  • Three Way Exercise
  • Exercise Solution

Aggregation of Records

  • Aggregating and Grouping
  • Picturing Group By
  • Selecting Columns After Grouping
  • Aggregate Functions
  • Combining Group By and Aggregates
  • A Gotcha with Count
  • Visualizing More Grouping
  • Exercise Overview
  • Practice For Grouping and Aggregating
  • Grouping Solution
  • Adding a Layer of Difficulty
  • Grouping With a Join!
  • Solution
  • Filtering Groups with Having
  • Having In Action
  • More on Having!
  • A Having Exercise Overview
  • Practice Yourself Some Having
  • A Quick Solution

Working with Large Datasets

  • A New Dataset
  • Investigating This Dataset
  • Some Group By Practice
  • Group By Review
  • Group By Review Solution
  • Remember Joins?
  • Inner Join Review
  • Of Course You Remember!

Sorting Records

  • The Basics of Sorting
  • Two Variations on Sorting
  • Offset and Limit
  • Exercise Overview
  • Sorting, Offsetting, and Limiting
  • Exercise Solution

Unions and Intersections with Sets

  • Handling Sets with Union
  • A Few Notes on Union
  • Commonalities with Intersect
  • Removing Commonalities with Except
  • Union Exercise Overview
  • Merging Results with Union
  • Exercise Solution

Assembling Queries with SubQueries

  • What's a Subquery?
  • Thinking About the Structure of Data
  • What's the Data Look Like?
  • Subqueries in a Select
  • Exercise Overview
  • Embedding in Select
  • Select Solution
  • Subqueries in a From
  • From Subqueries that Return a Value
  • Example of a Subquery in a From
  • Exercise Overview
  • Subquery From's
  • Exercise Solution
  • Subqueries in a Join Clause
  • More Useful - Subqueries with Where
  • Data Structure with Where Subqueries
  • Exercise Overview
  • Subquery Where's
  • Exercise Solution
  • The Not In Operator with a List
  • A New Where Operator
  • Finally Some!
  • Is It A Valid Subquery?
  • Exercise Overview
  • Practice Your Subqueries!
  • A Quick Solution
  • Probably Too Much About Correlated Subqueries
  • More on Correlated Subqueries
  • A Select Without a From?
  • Exercise Overview
  • From-less Selects
  • Exercise Solution

Selecting Distinct Records

  • Selecting Distinct Values
  • Exercise Overview
  • Some Practice with Distinct
  • A Distinct Solution

Utility Operators, Keywords, and Functions

  • The Greatest Value in a List
  • And the Least Value in a List!
  • The Case Keyword

Local PostgreSQL Installation

  • PostgreSQL Installation on macOS
  • PGAdmin Setup on macOS
  • Postgres installation on Windows

PostgreSQL Complex Datatypes

  • What'd We Just Do?
  • Data Types
  • Fast Rules on Numeric Data Types
  • More on Number Data Types
  • Reminder on Character Types
  • Boolean Data Types
  • Times, Dates, and Timestamps
  • Really Awesome Intervals

Database-Side Validation and Constraints

  • Thinking About Validation
  • Creating and Viewing Tables in PGAdmin
  • Applying a Null Constraint
  • Solving a Gotcha with Null Constraints
  • Creating NULL Constraints
  • Default Column Values
  • Applying a Unique Constraint to One column
  • Multi-Column Uniqueness
  • Is It Unique?
  • Adding a Validation Check
  • Checks Over Multiple Columns
  • Does It Pass a Check?
  • So Where Are We Applying Validation?

Database Structure Design Patterns

  • Approaching More Complicated Designs
  • Using a SQL Design Tool
  • A Config-based Schema Designer
  • Here's the Plan
  • Rebuilding Some Schema

How to Build a 'Like' System

  • Requirements of a Like System
  • How Not to Design a Like System
  • Designing a Like System
  • Building a Similar System
  • Making a Reaction System Instead
  • Polymorphic Associations
  • Polymorphic Association Alternative Implementation
  • The Simplest Alternative
  • Polymorphic Associations
  • So Which Approach?

How to Build a 'Mention' System

  • Additional Features Around Posts
  • Adding Captions and Locations
  • Photo Mentions vs Caption Mentions
  • Considerations on Photo Tags vs Caption Tags
  • Update For Tags

How to Build a 'Hashtag' System

  • Designing a Hashtag System
  • Tables for Hashtags
  • Including the Hashtag Table
  • A Few More User Columns
  • Why No Number of Followers or Posts?

How to Design a 'Follower' System

  • Designing a Follower System

Implementing Database Design Patterns

  • Back to Postgres
  • Creating Tables with Checks
  • Posts Creation
  • Comments Creation
  • Likes Creation
  • Photo Tags and Caption Tags
  • Creating Hashtags, Hashtag Posts, and Followers

Approaching and Writing Complex Queries

  • Quick Note About Adding Some Data
  • Adding Some Data
  • Restoring from Scratch
  • Highest User ID's Exercise
  • Solution for User ID's
  • Posts by a Particular User
  • Solving for Posts by User
  • Likes Per User
  • Solution for Likes Per User

Understanding the Internals of PostgreSQL

  • Thinking About Performance
  • Where Does Postgres Store Data?
  • Heaps, Blocks, and Tuples
  • Terminology Check
  • Block Data Layout
  • Heap File Layout

A Look at Indexes for Performance

  • Full Table Scans
  • What's an Index
  • How an Index Works
  • Creating an Index
  • Benchmarking Queries
  • Downsides of Indexes
  • Index Types
  • Automatically Generated Indexes
  • Using Automatically Created Indexes
  • Behind the Scenes of Indexes

Basic Query Tuning

  • The Query Processing Pipeline
  • Explain and Explain Analyze
  • Explain Vs Explain Analyze
  • Solving an Explain Mystery

Advanced Query Tuning

  • Developing an Intuitive Understanding of Cost
  • Calculating Cost by Hand
  • A Touch More on Costs
  • Calculating Costs
  • Startup vs Total Costs
  • Costs Flow Up
  • Use My Index!

Simple Common Table Expressions

  • Common Table Expressions
  • A Quick Solution
  • So What's a CTE?

Recursive Common Table Expressions

  • Recursive CTE's
  • Recursive CTE's Step by Step
  • Why Use Recursive CTE's?
  • Writing the Query
  • Walking Through Recursion

Simplifying Queries with Views

  • Most Popular Users
  • A Possible Solution for Merging Tables
  • Creating a View
  • When to Use a View?
  • Deleting and Changing Views

Optimizing Queries with Materialized Views

  • Materialized Views
  • Grouping by Week
  • Reminder on Left Joins
  • Writing a Slow Query
  • Creating and Refreshing Materialized Views
  • Views vs Materialized Views

Handling Concurrency and Reversibility with Transactions

  • What are Transactions Used For?
  • Some Sample Data
  • Opening and Closing Transactions
  • Transaction Cleanup on Crash
  • Closing Aborted Transactions

Managing Database Design with Schema Migrations

  • A Story on Migrations
  • Migration Files
  • Issues Solved by Migrations
  • A Few Notes on Migrations Libraries
  • A Note About Node Installation
  • Project Creation
  • Generating and Writing Migrations
  • Applying and Reverting Migrations
  • Generating and Applying a Second Migration

Schema vs Data Migrations

  • Schema vs Data Migrations
  • Dangers Around Data Migrations
  • Properly Running Data and Schema Migrations
  • Creating a Posts Table
  • A Small Web Server
  • Web Server Setup Instructions
  • Adding the Loc Column
  • Writing Values to Both Columns
  • Transaction Locks
  • Updating Values
  • Migrations Setup Instructions
  • Updating the App Server
  • Dropping the Last Columns

Accessing PostgreSQL From API's

  • Section Goal
  • Initial Setup
  • One Fast Migration
  • Building the Users Router
  • Understanding Connection Pools
  • Validating Connection Credentials
  • Query and Close

Data Access Pattern - Repositories

  • The Repository Pattern
  • Creating a Repository
  • Accessing the API
  • Casing Issues
  • Fixing Casing
  • Finding Particular Users

Security Around PostgreSQL

  • SQL Injection Exploits
  • Handling SQL Injection with Prepared Statements
  • Preventing SQL Injection
  • Reminder on Post Requests
  • Inserting Users
  • Handling Updates
  • And, Finally, Delete

Fast Parallel Testing

  • A Note on Testing
  • Assertions Around User Count
  • Connecting to a DB For Tests
  • Disconnecting After Tests
  • Multi-DB Setup
  • Assumptions Around Content
  • Issues with Parallel Tests
  • Isolation with Schemas
  • Creating and Accessing Schemas
  • Controlling Schema Access with Search Paths
  • Routing Schema Access
  • Strategy for Isolation
  • Programmatic Schema Creation
  • Escaping Identifiers
  • Test Helpers
  • Cleaning up Schemas and Roles
  • Finally... Parallel Tests!

Bonus!

  • Bonus!

Instructors

Mr Stephen Grider

Mr Stephen Grider
instructor
Udemy

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