Abstract
Trends and challenges of data management are presented in the context of Industry 4.0 to know the impact that is being generated by the development of new models and architectures that consider the Internet of Things, Cloud Computing and Big Data in its different levels of integration to allow intelligent analytics. To achieve this purpose, we developed a research protocol that follows the guide of systematic literature mapping. With this base, we elaborated an industry 4.0 classification that considers the life cycle of the data. The results show that Big Data in Industry 4.0 is in its infancy, so few proposals for prescriptive analytics have been developed. Based on the evidence found, we believe that it is necessary to align technology, modeling, and optimization under a methodology focused on data management.
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