Big Data Strategy

被引:0
|
作者
Valdez, Alicia [1 ]
Cortese, Griselda [1 ]
Castaneda, Sergio [1 ]
Vazquez, Laura [1 ]
Zarate, Angel [1 ]
Salas, Yadira [1 ]
Haces Atondo, Gerardo [2 ]
机构
[1] Autonomous Univ Coahuila, Res Ctr, Saltillo, Coahuila, Mexico
[2] Autonomous Univ Tamaulipas, Res Ctr, Ciudad Victoria, Tamaulipas, Mexico
关键词
Technological strategy; big data; Hadoop; data analysis; DATA ANALYTICS;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The importance of data analysis in companies grows every day, with a global market that generates large amounts of transactions. Industry 4.0 is one of the technological trends, which is a set of diverse technologies whose objective is the digitalization and technological connectivity of the entire value chain of organizations. Data analysis and decision making in real time have a positive impact on efficiency. One of the technologies that support this concept is big data, which can support companies to use and manage large volumes of data as support in decision making. In this research project, the computational environment of Apache Hadoop software has been analyzed to create a technological strategy that supports companies in creating a roadmap to know and implement big data technology; as a result, a computer laboratory for big data has been created at the Autonomous University of Coahuila, Mexico to support medium-sized manufacturing companies in their data analysis strategy for decision making.
引用
收藏
页码:285 / 290
页数:6
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