Application of Big Data tools in the analysis of visitors to museums and archaeological sites in the State of Oaxaca

Abstract

This article is the result of the analysis of visitors to the archaeological zones of the state of Oaxaca, in the year 2021 applying Big Data tools. The original data was taken from the INAH (2021). The CSV (Comma Separated Values) file contains the columns: State, SIINAH Code, Acronyms, Work Center, Year, Month, Type of visitors, Number of visits, and Nationality. The objective is to illustrate the application of big data tools in the analysis of large volumes of data, in this case study, only a fragment of the data has been used, which corresponds to the Oaxaca State. The analysis was carried out with its own methodology based on the MAMBO methodology (Muñoz and Sánchez, 2019), in the applied methodology the following phases are identified: data acquisition, their management, the search for information in the data and their order and display. One contribution is the generation of a guide in which the reader will be able to identify the process of applying big data tools.