Big Data Strategy

Abstract

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.

Authors and Affiliations

Alicia Valdez, Griselda Cortes, Sergio Castaneda, Laura Vazquez, Angel Zarate, Yadira Salas, Gerardo Haces Atondo

Keywords

Related Articles

A Review of Ontology Development Aspects

Although it is widely recognized that ontology is the main approach towards semantic interoperability among information systems and services, the understanding of ontology aspects among researchers is limited. To provide...

Efficient Key Agreement and Nodes Authentication Scheme for Body Sensor Networks

Technological evolvement of Wireless Sensor Networks (WSNs) gave birth to an attractive research area for health monitoring called Body Sensor Network (BSN). In BSN tiny sensor nodes sense physiological data of patients...

Analytical and Numerical Study of the Onset of Electroconvection in a Dielectric Nanofluid Saturated a Rotating Darcy Porous Medium

The simultaneous effect of rotation and a vertical AC electric field on the onset of electroconvection in a horizontal dielectric nanofluid layer saturated a Darcy porous medium is investigated. The boundaries of the die...

Routing Optimization in WBAN using Bees Algorithm for Overcrowded Hajj Environment

Crowded places like Hajj environment in Makkah which host from 2 to 3 million on specific area and time can pose health challenges for pilgrims who need medical care. One of the solutions to overcome such difficulties is...

Chi-Square Automatic Interaction Detection Modeling for Predicting Depression in Multicultural Female Students

This study developed a depression prediction model for female students from multicultural families by using a decision tree model based on Chi-squared automatic interaction detection (CHAID) algorithm. Subjects of the st...

Download PDF file
  • EP ID EP551384
  • DOI 10.14569/IJACSA.2019.0100434
  • Views 90
  • Downloads 0

How To Cite

Alicia Valdez, Griselda Cortes, Sergio Castaneda, Laura Vazquez, Angel Zarate, Yadira Salas, Gerardo Haces Atondo (2019). Big Data Strategy. International Journal of Advanced Computer Science & Applications, 10(4), 285-290. https://europub.co.uk/articles/-A-551384