基于Spark的竞争情报大数据分析框架

Bouktaib Adil, Fennan Abdelhadi, Bahra Mohamed, Hmami Haytam
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引用次数: 4

摘要

在大数据时代,越来越多的信息以结构化、半结构化和非结构化的形式出现在网上,越来越多的公司和组织正试图利用这一现象,通过使用自动化流程和软件来做出基于数据的决策,从而产生了竞争情报系统。尽管在这些系统中使用的传统数据挖掘和统计技术无法应对大数据的主要挑战,如数量、种类和速度,这使得企业必须利用大数据分析中新技术的力量,并从其优势中创造价值。在本文中,我们提出了一个基于Apache Spark的框架,用于竞争情报战略实施的所有步骤,从数据收集,数据分析,数据可视化到结果和发现沟通,以协助组织的决策过程。
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A Spark Based Big Data Analytics Framework for Competitive Intelligence
In the era of Big Data, an ever-growing stream of information is available online in different formats structured, semi-structured and unstructured, more and more companies and organizations are trying to take advantage of this phenomena and make data-based decisions through the use of automatic processes and software which gave birth to competitive intelligence systems. Though traditional techniques of data mining and statistics used in these systems do not respond to the main challenges of big data such as volume, variety, and velocity, which makes it a must for enterprises to harness the power of new technologies in big data analytics and create value out of its advantages. In this paper, we propose a framework based on Apache Spark for competitive intelligence strategy implementation in all its steps from data collection, data analysis, data visualization to results and findings communication in order to assist the decision-making process of an organization.
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