Grokking Relational Database Design
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Grokking Relational Database Design
"Grokking Relational Database Design introduces the core skills you need to assemble and query tables using SQL. The clear explanations, intuitive illustrations, and hands-on projects make database theory come to life, even if you can't tell a primary key from an inner join. As you go, you'll design, implement, and optimize a database for an e-commerce application and explore how generative AI simplifies the mundane tasks of database designs"--
Grokking Relational Database Design
A friendly illustrated guide to designing and implementing your first database. Grokking Relational Database Design makes the principles of designing relational databases approachable and engaging. Everything in this book is reinforced by hands-on exercises and examples. In Grokking Relational Database Design, you’ll learn how to: • Query and create databases using Structured Query Language (SQL) • Design databases from scratch • Implement and optimize database designs • Take advantage of generative AI when designing databases A well-constructed database is easy to understand, query, manage, and scale when your app needs to grow. In Grokking Relational Database Design you’ll learn the basics of relational database design including how to name fields and tables, which data to store where, how to eliminate repetition, good practices for data collection and hygiene, and much more. You won’t need a computer science degree or in-depth knowledge of programming—the book’s practical examples and down-to-earth definitions are beginner-friendly. About the technology Almost every business uses a relational database system. Whether you’re a software developer, an analyst creating reports and dashboards, or a business user just trying to pull the latest numbers, it pays to understand how a relational database operates. This friendly, easy-to-follow book guides you from square one through the basics of relational database design. About the book Grokking Relational Database Design introduces the core skills you need to assemble and query tables using SQL. The clear explanations, intuitive illustrations, and hands-on projects make database theory come to life, even if you can’t tell a primary key from an inner join. As you go, you’ll design, implement, and optimize a database for an e-commerce application and explore how generative AI simplifies the mundane tasks of database designs. What's inside • Define entities and their relationships • Minimize anomalies and redundancy • Use SQL to implement your designs • Security, scalability, and performance About the reader For self-taught programmers, software engineers, data scientists, and business data users. No previous experience with relational databases assumed. About the author Dr. Qiang Hao and Dr. Michail Tsikerdekis are both professors of Computer Science at Western Washington University. Table of Contents Part 1 1 Introducing databases and SQL 2 Related tables and more SQL 3 Overview of database design Part 2 4 Entities and attributes 5 Relationships 6 Normalization and implementation 7 Security and optimization Part 3 8 Database design in the age of generative AI
PostgreSQL Mistakes and How to Avoid Them
Author: Jimmy Angelakos
language: en
Publisher: Simon and Schuster
Release Date: 2025-07-15
Recognize and avoid these sixty common PostgreSQL mistakes! The best mistakes to learn from are ones made by other people! In PostgreSQL Mistakes and How To Avoid Them you’ll explore dozens of common PostgreSQL errors so you can easily avoid them in your own projects. In PostgreSQL Mistakes and How To Avoid Them you’ll learn how to: Avoid configuration and operation issues Maximize PostgreSQL utility and performance Fix bad SQL practices Solve common security and administration issues Ensure smooth migration and upgrades Diagnose and fix a bad database Fixing a PostgreSQL mistake can be tricky and time-consuming, especially when you’re making risky live changes to an in-use system. PostgreSQL Mistakes and How To Avoid Them helps you spot and sidestep problems in setup, admin, querying, migrating, upgrading, and more. Follow these tested best practices to ensure top performance and future-proof your database systems for seamless change and growth. Each of the 60 mistakes is carefully described and accompanied by a demo, along with an explanation that expands your knowledge of PostgreSQL internals and helps you to build a stronger mental model of how the database engine works. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book PostgreSQL Mistakes and How To Avoid Them reveals dozens of configuration and operational mistakes you’re likely to make with PostgreSQL. The book covers common problems across all key PostgreSQL areas, from data types, to features, security, and high availability. For each mistake you’ll find a real-world narrative that lays out context and recommendations for improvement. As you go, you’ll appreciate the illustrative code snippets (both bad and good), database schema samples, mind maps, and comparison tables that show the pros and cons of different approaches. You’ll soon have the pro-level knowledge of a battle-scarred PostgreSQL veteran without the pain of experiencing the mistakes in your own projects! About the reader For database administrators and application developers working with PostgreSQL databases. About the author Jimmy Angelakos is a Systems and Database Architect and recognized PostgreSQL expert with a wealth of experience gained from his career in Software Architecture and key roles at 2ndQuadrant and EDB. He studied Computer Science at the University of Aberdeen and has worked with, and contributed to, Open-Source tools for 25+ years. Jimmy is a regular speaker at conferences and events focused on databases and Open-Source software, sharing his insights with the community.