市场监管大数据平台架构设计及关键技术

Architecture Design and Key Technologies of Market Supervision Big Data Platform

本文主要研究市场监管大数据平台的架构设计及关键技术,介绍市场监管大数据平台的意义,提出市场监管大数据平台的架构设计,主要包括数据采集、数据存储、数据处理、数据应用四个模块。在架构设计中,重点考虑数据安全、数据质量、数据实时性等因素,讨论市场监管大数据平台的关键技术,如数据挖掘、机器学习、自然语言处理等。以期通过本文的研究,为市场监管部门构建高效的监管系统提供参考。

This article mainly studies the architecture design and key technologies of the market supervision big data platform,introduces the significance of the market supervision big data platform,and proposes the architecture design of the market supervision big data platform,which mainly includes four modules:data collection,data storage,data processing,and data application.In architecture design,the focus is on factors such as data security,data quality,and real-time data,discuss the key technologies of market regulation big data platforms,such as data mining,machine learning,natural language processing,etc.In order to provide reference for market regulatory authorities to build an efficient regulatory system through the research in this article.