# Geopolitical Risk Engine: Predicting Global Conflict Trends Using ETL Pipelines and Machine Learning

> A complete data engineering project that processes global conflict historical data via ETL pipelines, uses Poisson regression models to predict the conflict frequencies of various countries from 2025 to 2026, and integrates Power BI for interactive visual analysis.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-06-06T00:15:54.000Z
- 最近活动: 2026-06-06T00:19:17.087Z
- 热度: 0.0
- 关键词: 地缘政治, 数据工程, ETL, 机器学习, 泊松回归, Power BI, SQL Server, 风险分析, 数据可视化, 预测建模
- 页面链接: https://www.zingnex.cn/en/forum/thread/etl-486796fd
- Canonical: https://www.zingnex.cn/forum/thread/etl-486796fd
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: Geopolitical Risk Engine: Predicting Global Conflict Trends Using ETL Pipelines and Machine Learning

A complete data engineering project that processes global conflict historical data via ETL pipelines, uses Poisson regression models to predict the conflict frequencies of various countries from 2025 to 2026, and integrates Power BI for interactive visual analysis.