https://github.com/humankernel/biblioteca.sql
https://github.com/humankernel/biblioteca.sql
Last synced: 16 days ago
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- Host: GitHub
- URL: https://github.com/humankernel/biblioteca.sql
- Owner: humankernel
- Created: 2025-02-17T23:05:41.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-17T23:22:03.000Z (over 1 year ago)
- Last Synced: 2025-02-18T00:24:28.576Z (over 1 year ago)
- Language: JavaScript
- Size: 10.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Security: security/audit.sql
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README
# biblioteca_nacional.sql
## Overview
This project is a comprehensive exploration of SQL and PostgreSQL, featuring:
- A complete **database design** including an Entity Relationship Diagram (ERD)
- Implementation of **optimized queries** and indexing techniques
- Detailed analysis and documentation of **query performance**
- Real-world data modeling challenges and their solutions
The goal was not only to build a robust database but also to document the learning process and performance tuning techniques.
## Table of Contents
- [Features](#features)
- [Technologies](#technologies)
- [Setup & Installation](#setup--installation)
- [Project Structure](#project-structure)
- [Database Design](#database-design)
- [Queries & Optimizations](#queries--optimizations)
- [Lessons Learned](#lessons-learned)
- [Future Enhancements](#future-enhancements)
- [License](#license)
- [Contact](#contact)
## Features
- **ERD and Schema Design**: A visual representation of the database structure.
- **Optimized Queries**: Efficient SQL queries with performance insights.
- **Indexing Strategies**: Implemented indexes to speed up data retrieval.
- **Documentation**: Detailed explanations of design choices and optimization methods.
## Technologies
- **PostgreSQL 16**: The database engine used.
- **SQL**: For data manipulation and querying.
## Setup & Installation
1. **Clone the repository:**
```bash
git clone https://github.com/humankernel/biblioteca.sql.git
cd biblioteca.sql
```
2 **Set up your PostgreSQL environment:**
- Ensure PostgreSQL is installed.
- Create a new database.
- Run the provided SQL scripts to set up the schema and seed data.
## Database Design
