End-to-End Geospatial Climate Data Visualization with Spring Boot, PostgreSQL, and Deck.gl

🌍 In this video, I walk you through my full-stack **geospatial data visualization project**, which fetches and visualizes large-scale **climate datasets** from NOAA (National Oceanic and Atmospheric Administration). Using **Spring Boot**, **PostgreSQL/PostGIS**, **Docker**, and **Deck.gl**, I built an interactive web app that lets users query and explore climate trends on a map.

🔧 Tech Stack:
- Spring Boot (Backend API)
- PostgreSQL with PostGIS (Geospatial DB)
- React, Next.js, Deck.gl (Frontend Visualization)
- Docker & Docker Compose
- Python + Pandas (ETL)
- GNU Parallel + Bash Scripts
- Asyncio (for fast file I/O)

🧭 What you’ll see:
0:00 – Introduction & Project Goals
0:23 – Launching the full stack with Docker Compose
0:36 – Visualizing climate data interactively
1:08 – Data fetching pipeline using GNU Parallel
1:50 – Data preprocessing and merging into a CSV file
2:40 – Async file handling and CSV conversion with Python
3:24 – Downloading the csv generated and move in the project folder in WSL
3:45 – Migrating data into PostgreSQL using Docker

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📂 **Repository + Colab Notebook**
GitHub Repo: https://github.com/YagmurGULEC/NOAA_DataVisualization_Backend_Frontend
Colab Link for ETL: https://colab.research.google.com/drive/1fCd7rRD1-ebMzBYxOT8pdtgKqN29SeP8?usp=drive_link
Download the dataset from Google Drive:
https://drive.google.com/drive/folders/1IYsmxJI4N-VsF4U1sBR4cnWZ3XZgjVp-?usp=drive_link

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🔍 **Keywords for Search Optimization**
`geospatial data`, `climate data visualization`, `NOAA API`, `Spring Boot geoJSON`, `PostGIS Docker`, `Deck.gl map`, `async file processing`, `full stack project`, `data pipeline`, `data engineering`, `react map visualization`

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💬 Have any questions about setting this up or optimizing your own ETL/visualization pipeline? Leave a comment below!

Видео End-to-End Geospatial Climate Data Visualization with Spring Boot, PostgreSQL, and Deck.gl канала Yağmur Güleç