基于Hadoop技术框架的组织知识管理系统设计与实现

Design and Implementation of Knowledge Management System Based on Hadoop Technology Framework

利用大数据技术来增强组织中的知识管理,使随着大数据技术发展的必然产物。目前,基于新的大数据体系架构,通过高级数据分析手段来存储和分析知识数据,为组织决策生成至关重要的实时知识。具体来说,必须具有一个单一的基础结构,该基础结构提供知识管理的通用功能,并且足够灵活以处理不同类型的大数据和大数据分析任务。本文提出利用可存储和处理大量数据的云计算基础架构实现大数据的高效处理,最大程度地降低了大数据分析所需的各类成本,该框架可以实时分析大数据,以促进增强竞争优势的决策。

The use of big data technology is to enhance knowledge management in the organization,with the inevitable outcome of the development of big data technology.Currently,based on the new big data architecture,advanced data analysis means to store and analyze knowledge data,generating vital real-time knowledge for organizational decision-making.Specifically,there must be a single infrastructure that provides common functionality for knowledge management and is flexible enough to handle different types of big data and big data analytics tasks.This paper proposes to use the cloud computing infrastructure that can store and process large amounts of data to achieve efficient processing of big data,minimizing the various costs required for big data analysis.The framework can analyze big data in real time to promote competitive advantage decision making.