https://github.com/pinedah/escom_advanced-databases
This repository contains materials, notes, and projects for the Advanced Databases course in the Data Science degree at IPN. It covers decision support systems, OLAP technologies, data warehouses, ETL processes, and non-relational databases, including document-oriented, key-value, and graph databases.
https://github.com/pinedah/escom_advanced-databases
data-science databases escom powerbi python school sql
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This repository contains materials, notes, and projects for the Advanced Databases course in the Data Science degree at IPN. It covers decision support systems, OLAP technologies, data warehouses, ETL processes, and non-relational databases, including document-oriented, key-value, and graph databases.
- Host: GitHub
- URL: https://github.com/pinedah/escom_advanced-databases
- Owner: Pinedah
- Created: 2025-02-17T18:45:51.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-27T01:45:29.000Z (over 1 year ago)
- Last Synced: 2025-03-27T02:38:58.409Z (over 1 year ago)
- Topics: data-science, databases, escom, powerbi, python, school, sql
- Language: Jupyter Notebook
- Homepage:
- Size: 26.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Advanced Databases
## 📌 Course Overview
This repository contains materials, notes, and projects related to the **Advanced Databases** course as part of the **Data Science degree at IPN**. The course focuses on designing and implementing decision support systems using **non-relational databases, OLAP technologies, and data warehouses**.
## 📖 Topics Covered
1. **Decision Support Systems (DSS) and Data Warehouses**
- Characteristics and taxonomies of DSS
- Architectures for DSS
- Data Warehouses and Data Lakes
2. **Design of Data Warehouses and Databases**
- Data Warehouse architectures
- ETL (Extract, Transform, Load) processes
3. **OLAP Cube Design**
- OLAP vs. OLTP
- Data modeling for OLAP
- OLAP operations (Roll-up, Drill-down, Slice, Dice)
4. **Non-Relational Databases**
- Object-oriented databases
- Document-oriented databases
- Key-value stores
- Graph databases
- Emerging database trends
## 🔧 Prerequisites
To follow along with the course materials and projects, ensure you have:
- Basic knowledge of **relational databases**
- Familiarity with **SQL** and **NoSQL**
- Python and relevant database libraries installed (e.g., `pymongo`, `sqlalchemy`)
## 📂 Repository Structure
```
📦 AdvancedDatabases
┣ 📂 datasets # Datasets, databases and resources
┣ 📂 period1 # Homework and exercises from Period 1
┣ 📂 period2 # Homework and exercises from Period 2
┣ 📂 period3 # Homework and exercises from Period 3
┣ 📜 basesDatosAvanzadas_LCD2020 # Course overview
┣ 📂 projects # Final projects and case studies
┣ 📜 README.md # This file
```
## 📚 Recommended Books
- **"Introducción a la MinerÃa de Datos"** – Hernández, RamÃrez & Ferri
- **"The Data Warehouse Lifecycle Toolkit"** – Kimball & Ross
- **"Seven NoSQL Databases in a Week"** – Ploetz et al.
- **"NoSQL for Mere Mortals"** – Sullivan
## 💡 How to Contribute
Contributions are welcome! To collaborate:
1. **Fork** this repository
2. **Clone** it to your local machine
3. **Create** a new branch: `git checkout -b feature-name`
4. **Commit** your changes: `git commit -m 'Added new content'`
5. **Push** to your fork: `git push origin feature-name`
6. **Submit a Pull Request**
## 📬 Contact
If you have any questions or suggestions, feel free to reach out!
Ig: @pinedah_11
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🚀 **Happy coding and database designing!**