Mastering PostgreSQL for Data Engineering and Cloud Deployment

Design, Optimize, and Scale PostgreSQL for Modern Data Pipelines.

Key Features

● Learn PostgreSQL from the ground up, covering installation, SQL, configuration, backup, replication, and cloud deployment.
● Gain in-depth knowledge of performance tuning, indexing strategies, and high availability to scale databases efficiently.
● Deploy PostgreSQL on AWS, using RDS, EC2, and S3, with real-world cloud migration and IAM management use cases.

Book Description

PostgreSQL is a leading open-source database, essential for modern data engineering tasks. Mastering PostgreSQL for Data Engineering and Cloud Deployment is your complete guide to unlocking PostgreSQL’s full potential in data-centric environments.

Starting with installation and configuration, the book moves through foundational SQL, complex queries, and schema design. You will then deep dive into backup and restore, replication, high availability, and performance tuning strategies necessary for large-scale data workflows. The final chapters guide you through integrating PostgreSQL with AWS cloud services like RDS, EC2, and S3, enabling cloud-native data operations and migrations.

Packed with real-world use cases, this book helps data engineers streamline operations, optimize queries, and build resilient, high-performance database systems.

Hence, whether you are designing pipelines or managing production workloads, this is your roadmap to PostgreSQL mastery.

What you will learn

● Install, configure, and secure PostgreSQL in various environments.
● Write, optimize, and execute complex SQL queries using joins, subqueries, and CTEs.
● Perform full and incremental backups, restorations, and database upgrades.
● Set up replication, and ensure high availability for production environments.
● Tune PostgreSQL performance with indexing, caching, and query optimization.
● Integrate PostgreSQL with AWS Cloud services such as RDS, EC2, and IAM.

Who is this book for?

This book is ideal for aspiring data engineers, database administrators, and cloud professionals who want to build a solid foundation in PostgreSQL. No prior experience is required, but basic familiarity with SQL or databases will help readers get the most out of this hands-on, cloud-integrated guide.

1. Introduction to PostgreSQL
2. Installing and Initializing PostgreSQL
3. Subsets of SQL
4. Understanding the Database
5. PostgreSQL Configurations and File Permissions
6. Backup and Restore
7. Replication and High Availability
8. Upgrade
9. Performance Tuning
10. Functions in PostgreSQL
11. Demystifying Table Joints, Subqueries, CTE, and Views
12. Cloud Computing (AWS)
13. IAM Users and AWS Migration
Index

Jaques Chiankem Fozao is a Senior PostgreSQL Database Administrator and AWS Cloud Specialist, dedicated to helping professionals and organizations optimize database performance, security, and scalability. With over eight years of expertise, he has worked extensively in backup and restore, upgrades, replication, high availability, maintenance, and cloud integration.

He holds a Master’s degree in Mathematics Education from Birmingham City University (UK) and certifications in Database Design and Programming (Oracle Academy) and Linux System Administration (Linux Professional Institute). His deep understanding of PostgreSQL and cloud technologies has enabled him to teach and mentor database professionals, simplifying complex concepts for learners at all levels.

About the Technical Reviewer

Yamini Panchal holds a Bachelor of Engineering degree in Computer Science from Gujarat Technological University, and boasts over 8 years of extensive experience in the IT industry. Throughout her career, she has contributed her expertise to diverse domain-based applications for web development, including IoT, Telecommunication, Healthcare, Cloud Services and others.

She currently serves as a Technical Lead, Senior Software Engineer at Azilen Technologies, specializing in open source development. With strong expertise in Node.js, she excels in building server-side applications and APIs. Yamini has a solid grasp of database systems, encompassing SQL as well as NoSQL databases.