Master PostgreSQL: From Novice to Expert Database Administrator

What you will learn:

Relational Database Design
SQL Query Optimization
Advanced SQL Functions
PostgreSQL Administration
Data Modeling
Database Security
Performance Tuning
Data Backup and Recovery
pgAdmin 4 Mastery
High Availability Configurations

Description

Unlock the power of PostgreSQL with our comprehensive training program! This course takes you from zero to hero in PostgreSQL, equipping you with the in-demand skills sought by employers worldwide. Learn to design, build, manage, and optimize powerful relational databases, starting with fundamental SQL queries and advancing to expert-level techniques.

Whether you're a budding data analyst, aspiring database administrator, or a developer seeking to integrate database solutions into your applications, this course is your pathway to mastering PostgreSQL. We cover everything from basic table creation and data manipulation to complex joins, advanced functions, and performance tuning strategies. Hands-on exercises and real-world examples ensure you'll be confident in applying your new skills in any environment.

Our structured curriculum begins with an introduction to SQL and the fundamentals of relational databases. You'll quickly progress to learning advanced features of PostgreSQL, including creating robust database structures, efficiently querying and manipulating data, ensuring data integrity, and optimizing performance. You'll master essential commands and techniques through practical, engaging lessons.

Dive deep into intricate aspects like data modeling, indexing for optimized queries, transaction management for secure and reliable data handling, sophisticated query optimization, and strategies for high availability and disaster recovery. You'll also become proficient in using pgAdmin 4, a powerful administration tool for PostgreSQL.

By the end of this PostgreSQL bootcamp, you'll possess a comprehensive understanding of this leading open-source database. You'll be ready to leverage your newly acquired expertise to excel in your career path and tackle demanding database challenges with confidence.

Curriculum

Introduction to PostgreSQL and SQL Fundamentals

This introductory section lays the foundation for your PostgreSQL journey. You'll start by learning to create tables ('Create Table'), insert data ('Insert Data'), and retrieve information using 'SELECT' statements ('Select Data'). You'll master adding, altering, and dropping columns ('Add Column', 'Alter Column', 'Drop Column') and efficiently deleting data ('Delete') or even entire tables ('Drop Table'). You'll create a sample database ('Create Demo Database') to work with throughout the course. We'll also explore fundamental SQL operators, including comparison ('Operators'), the 'WHERE' clause ('Where') for filtering data, 'ORDER BY' for sorting ('Order By'), and the 'LIMIT' clause ('Limit'). Finally, we'll cover aggregate functions such as 'MIN', 'MAX' ('Min Max Functions'), 'COUNT' ('Count Function'), 'SUM' ('Sum Function'), and 'AVG' ('Avg Function'). We'll also explore string matching with 'LIKE' ('Like Operator'), data filtering using 'IN' ('In Operator') and 'BETWEEN' ('Between Operator'), and using aliases ('Aliase') for clarity and efficiency. We'll finish the introductory section by covering essential SELECT statement techniques: distinct selections ('Select Distinct') and combining multiple tables with various JOIN operations including INNER, LEFT, RIGHT, FULL, and CROSS joins ('Joins', 'Inner Join', 'Left Join', 'Right Join', 'Full Joins', 'Cross Join').

Advanced PostgreSQL Techniques and Optimizations

This section delves into the more advanced aspects of PostgreSQL. You'll learn to combine query results with 'UNION' operators ('Union Operators'), group data using the 'GROUP BY' clause ('Group By Clause'), filter grouped data with the 'HAVING' clause ('Having Clause'), and leverage advanced filtering with 'EXISTS', 'ANY', and 'ALL' operators ('Exists Operator', 'Any Operator', 'All Operator'). You'll also explore conditional logic using 'CASE' expressions ('Case Expression') for more dynamic data manipulation.

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