El Big Data desde las redes sociales

Abstract

Introduction. The use of Social Networks has brought with it the generation of large volumes of data, which can be stored and processed through Big Data tools, this fusion of social networks and Big Data, known as Social Big Data, allows these data to become useful information for societies and organizations. Objective. Identify how Big Data can make use of social networks to obtain information. In addition, to discern about the different positions of the authors consulted, with regard to Social Big Data Methodology. In the study, a documentary-type methodology was implemented, based on the bibliographic design. Results. The use of social networks has allowed people, small businesses and organizations in general to obtain information for their benefits, in the sense that every time they are used, they leave digital footprints, which are large volumes of data, but, to obtain these benefits it is necessary to make use of Big Data, this technology allows you to store, decode and analyze said data in order to convert it into useful information. Now, due to the wide range of responses that Big Data offers to other platforms, the term Social Big Data is generated, which is the fusion of social networks and Big Data. Conclusion. The use of Social Big Data is evident, so companies must adopt this technology if they consider staying in time, educational institutions in the same way, adapt their curricula in order to create skills in future professions, states provide the relevant regulations in order to protect the user and finally the users who must know the pros and cons of their life in the networks