Design and Analysis of a Rural Accurate Poverty Alleviation Platform Based on Big Data

摘要

Poverty alleviation has always been the focus of China's work. According to the survey, the poverty population in rural areas has been reduced to a large extent, and the unemployed have had the lowest historical record in history. Big data technology is a new technology that has slowly emerged in recent years. The use of big data technology to create a visual platform for rural poverty alleviation is a relatively new idea at this stage. And we use the Map-reduce-based big data missing value filling algorithm, which is designed to solve the data loss phenomenon in the query process. It greatly improves search quality and improves a series of problems in the current platform for accurate poverty alleviation and visualization.