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103.2 MB
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A03C576C4F59EFC8A02B121FD668EF47F24C355B
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April 18, 2026, 4:59 p.m.
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(Last updated: April 18, 2026, 5:04 p.m.)
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| Code.zip | 62.5 KB |
| Fozao J. Mastering PostgreSQL for Data Engineering and Cloud Deployment...2025.pdf | 103.1 MB |
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SOURCE: Fozao J. Mastering PostgreSQL for Data Engineering and Cloud Deployment...2025
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MEDIAINFO
Textbook in PDF format 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. According to the PostgreSQL.org website, PostgreSQL comes with many features to help with developing applications by developers, protecting data integrity by administrators and building high-availability environments. It helps you manage your data no matter how big or small the dataset. Aside from the free and open-source nature of PostgreSQL, it is highly extensible and enables you to create custom data types, build out custom functions, and even write code from different programming languages in your database. PostgreSQL is expandable and its versatile and approachable design supports a variety of specialized use cases. It has a powerful extension ecosystem, which makes it applicable in all major operating systems. Thus, maintaining dynamic database systems in today’s digital landscape is made possible and easy. Organizations looking for cost-effective and efficient ways to improve their databases and data integrity are turning to migrate to PostgreSQL. PostgreSQL is the best-of-breed relational database management system and is completely free from licensing restrictions. Expert developers who understand its unlimited use cases compared to the traditional database systems heavily support PostgreSQL. Due to PostgreSQL flexibility, compatibility, and support of multiple programming languages such as Python, JavaScript, C/C++ and Ruby, letting developers perform database tasks in whichever language they are proficient in without generating system conflicts, it has become the database of choice. Many of the features required by the SQL standard are supported by PostgreSQL, though sometimes with slight differences in syntax or function. Preface Introduction to PostgreSQL Installing and Initializing PostgreSQL Subsets of SQL Understanding the Database PostgreSQL Configurations and File Permissions Backup and Restore Replication and High Availability Upgrade Performance Tuning Functions in PostgreSQL Demystifying Table Joints, Subqueries, CTE, and Views Cloud Computing (AWS) IAM Users and AWS Migration
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