# Akajiaku11/Automated-ETL-Pipeline-for-Weather-Data

<https://repo.masters-masters.com/en/repos/Akajiaku11/Automated-ETL-Pipeline-for-Weather-Data>

[Home](https://repo.masters-masters.com/en) › [Akajiaku11](https://repo.masters-masters.com/en/owners/Akajiaku11) › [Automated-ETL-Pipeline-for-Weather-Data](https://repo.masters-masters.com/en/repos/Akajiaku11/Automated-ETL-Pipeline-for-Weather-Data)

Akajiaku11/Automated-ETL-Pipeline-for-Weather-Data has 115 stars on GitHub. Its RepoMasters card: Prototype tier. This project implements an Automated ETL…

| Field | Value |
| --- | --- |
| Owner | [Akajiaku11](https://repo.masters-masters.com/en/owners/Akajiaku11) |
| Stars | 115 |
| Forks | 12 |
| Language | No language |
| License | None |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Akajiaku11/Automated-ETL-Pipeline-for-Weather-Data](https://github.com/Akajiaku11/Automated-ETL-Pipeline-for-Weather-Data) |

## Repository

This project implements an Automated ETL (Extract, Transform, Load) Pipeline that fetches daily weather data, processes it, and stores it locally. It uses the OpenWeatherMap API to extract current weather data for a given city

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## More repos by Akajiaku11

- [Akajiaku11/Air-Quality-Prediction-Model · ★ 125 · Python · Prototype](https://repo.masters-masters.com/en/repos/Akajiaku11/Air-Quality-Prediction-Model)
- [Akajiaku11/Using-GIS-and-machine-learning-to-monitor-sandbars-along-the-Niger-River-in-the-Niger-Delta-Nigeria. · ★ 115 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/Akajiaku11/Using-GIS-and-machine-learning-to-monitor-sandbars-along-the-Niger-River-in-the-Niger-Delta-Nigeria.)
- [Akajiaku11/Real-Time-Air-Quality-Ingestion-System · ★ 112 · Python · Prototype](https://repo.masters-masters.com/en/repos/Akajiaku11/Real-Time-Air-Quality-Ingestion-System)
- [Akajiaku11/Machine-Learning-Based-Shoreline-Change-Prediction-and-Erosion-Analysis-A-Case-Study-of-Ogu-Bolo · ★ 110 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/Akajiaku11/Machine-Learning-Based-Shoreline-Change-Prediction-and-Erosion-Analysis-A-Case-Study-of-Ogu-Bolo)
- [Akajiaku11/The-impact-of-dam-management-and-rainfall-patterns-on-flooding-in-the-Niger-Delta-Using-Sentinel-1 · ★ 105 · Python · Prototype](https://repo.masters-masters.com/en/repos/Akajiaku11/The-impact-of-dam-management-and-rainfall-patterns-on-flooding-in-the-Niger-Delta-Using-Sentinel-1)
- [Akajiaku11/Water-Quality-Prediction · ★ 104 · Prototype](https://repo.masters-masters.com/en/repos/Akajiaku11/Water-Quality-Prediction)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.