Mastering PostgreSQL for Data Engineering and Cloud Deployment: Design Optimize and Manage PostgreSQL Databases for Data Engineering High Availability and AWS Cloud Integration

Jaques Chiankem

Summary

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 DescriptionPostgreSQL 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.

Available since: 08/29/2025.

Print length: 416 pages.

Science & Technology

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