Chat GPT-4 SQL Refactoring for PostgreSQL

Just recently I wrote up a post about a multi-tenant database for music collectors. That SQL was the first draft I put together to cover some of the basic data points and relations the database would need to have to provide the multi-tenant capabilities. However, there are a number of refactorings that I’d like done before I get started developing against this particular database. For this, I could just go through the refactorings with something like DataGrip or one of the other IDEs or other tools that I’ve used. But instead, for this exercise I decided why not give Chat GPT-4 algo a shot?

This is my experience refactoring SQL with Chat GPT-4.

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Designing a Relational Database – Data Modeling

Designing a system against a relational database involves several key elements that ensure data integrity, efficient query performance, and maintainability. Here’s a summarized overview of these design elements: This article I am going to strive to cover the first of numerous key elements of designing a system against a relational database. I will eventually cover the following topics, but this post will specifically be based on the first topic data modeling:

Data Modeling

The general idea with data modeling for a relational database (and for other types of databases) is to build the database in a way that caters to your specific usage needs. This involves multiple layered tasks. Each of the sections below I’ll define simple the task, then elaborate on characteristics of that particular task.

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