Udemy - PostgreSQL Mastery - Learning SQL doesn't need to be boring Free Download

Udemy – PostgreSQL Mastery – Learning SQL doesn’t need to be boring
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From Fundamentals to Production – part 1

PostgreSQL Mastery: From Fundamentals to Production (Part 1)

Kickstart your career in data with PostgreSQL Mastery: From Fundamentals to Production (Part 1), the essential course for aspiring database professionals and developers in 2025. This foundational segment of our comprehensive program is designed to equip you with the core knowledge and practical skills to confidently work with PostgreSQL, the sophisticated database powering modern applications.

What You’ll Learn in Part 1:

Section 1: Database Fundamentals

We’ll lay the groundwork by exploring the evolution of data management, from simple file systems to today’s complex database ecosystems. You’ll master fundamental database terminology such as tables, records, fields, schemas, and queries, and uncover PostgreSQL’s powerful features like custom data types, table inheritance, and Multi-Version Concurrency Control (MVCC). This section also delves into the modern database landscape, understanding diverse categories and use cases, and the enduring relevance of relational databases, including E.F. Codd’s groundbreaking model. Discover PostgreSQL’s innovative hybrid features, seamlessly blending relational reliability with NoSQL-like flexibility. Gain insight into its rich history, unique architecture, and growing market adoption, alongside comparisons with other prominent RDBMSs like MySQL, Oracle, and SQL Server. You’ll also be introduced to the critical ACID properties (Atomicity, Consistency, Isolation, Durability) that underpin transactional reliability.

Section 2: Environment Setup

Get hands-on with setting up your PostgreSQL environment across various platforms. We guide you through the user-friendly visual installation using the EnterpriseDB installer for both Windows and macOS systems. You’ll also master terminal-based installations using popular package managers such as APT for Linux, Homebrew for macOS, and Chocolatey for Windows. Explore cutting-edge cloud-managed PostgreSQL options with Amazon RDS, Microsoft Azure Database for PostgreSQL, and Google Cloud SQL, learning to provision and connect to robust instances in the cloud. Dive into serverless PostgreSQL solutions like Neon, featuring revolutionary database branching capabilities, Supabase, a complete backend-as-a-service platform with real-time APIs, and TimescaleDB, optimised for high-performance time-series data. Finally, harness the power of containerisation with Docker and Kubernetes, ensuring consistent development environments, instant provisioning, and effortless cleanup for your PostgreSQL databases. We’ll also provide a deep dive into essential PostgreSQL tools and interfaces, including the command-line client psql and the graphical management tool pgAdmin 4.

Section 3: SQL Foundation

The core of Part 1 is the SQL Foundation, providing you with a complete toolkit for database interaction, covering all five SQL sub-languages:

Data Definition Language (DDL): Learn to create, modify, and drop database objects including databases, schemas, tables, and powerful constraints (e.g., NOT NULL, UNIQUE, CHECK). Master the use of sequences, including SERIAL and IDENTITY columns, for unique identifiers, and understand basic index creation.

Data Manipulation Language (DML): Conquer data insertion with basic INSERT statements and efficient bulk loading using the COPY command. You’ll gain expertise in modifying existing data with UPDATE and the versatile MERGE statement introduced in PostgreSQL 15, and learn to remove data safely and efficiently using DELETE and TRUNCATE operations.

Data Query Language (DQL): Develop advanced skills to retrieve and analyse data using the SELECT statement. This includes column selection, filtering with WHERE, sorting with ORDER BY, and pagination using LIMIT, OFFSET, and FETCH. Explore PostgreSQL’s special querying features such as system/session information functions and powerful CASE expressions. Deep dive into data type operations for strings (including regular expressions), numbers, and temporal types (dates, times, intervals, and critical time zone considerations). You’ll master comprehensive NULL handling with COALESCE and NULLIF, and essential type conversions using CAST, :: syntax, and functions like TO_CHAR. Master basic data aggregation with COUNT, SUM, AVG, MIN, MAX, GROUP BY, and HAVING clauses. Crucially, you’ll understand table joins (INNER, LEFT, RIGHT, FULL OUTER, CROSS joins) to combine related data, and leverage set operations (UNION, INTERSECT, EXCEPT) to combine or compare query results. Finally, unlock the flexibility of subqueries in WHERE, SELECT, and FROM clauses, including scalar, multi-row, EXISTS, and correlated subqueries.

Data Control Language (DCL): Gain expertise in managing database security by creating and modifying user roles, and granting or revoking privileges to control access to your data and objects.

Transaction Control Language (TCL): Ensure data integrity and reliability using transactions with BEGIN, COMMIT, ROLLBACK, and SAVEPOINT commands, making your operations reliable and consistent.

This course is packed with real-world scenarios and practical examples, designed to transform you into a confident PostgreSQL practitioner. By completing Part 1, you’ll possess a robust foundation for building, managing, and querying PostgreSQL databases, setting you up for success in your database career.

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