数据清洗融合平台

数据清洗融合平台是在基于传统大数据仓库技术和实时数据仓库技术上，引入流水线式的数据价加工理念，以建立政务信息资源的基础库和主题库为目标，实现对海量的、零碎的数据资源的归集、整理、清洗、转换、融合。基于数据的清洗融合，最终实现各类政务管理、民生服务、决策支撑等场景对于数据的分析和挖掘需求，彻底解决政务数据的“三融五跨”难题，规范和指导城市数据资源库（数据湖）建设与数据应用落地，促进数据经济发展、完善社会治理体系、提升政府服务能力。具有丰富的内置数据清洗策略规则，数据融合策略等优势特点。

The data cleaning and integration platform introduces a pipeline-style data processing concept based on traditional big data warehouse and real-time data warehouse technologies. Aiming to establish basic and thematic databases of government information resources, it realizes the collection, organization, cleaning, transformation and integration of massive and fragmented data resources. By virtue of data cleaning and integration, it ultimately meets the data analysis and mining demands in scenarios including government affairs management, people's livelihood services and decision support, thoroughly solving the challenges of "Three Integrations and Five Crosses" for government data. Additionally, it standardizes and guides the construction of urban data resource databases (data lakes) and the deployment of data applications, promotes the development of the data economy, improves the social governance system, and enhances government service capabilities. The platform boasts rich built-in data cleaning strategy rules, data integration strategies and other advantageous features.

搜集汇总

背景与挑战

背景概述

该数据清洗融合平台采用流水线式加工技术，通过归集、清洗、转换和融合海量政务数据，构建基础库和主题库，满足政务管理、民生服务和决策分析需求。平台内置丰富的清洗与融合策略规则，旨在解决政务数据互通难题，推动数据应用落地和治理能力提升。