Affiliation:
1. Universidad Nacional Autónoma de México
Abstract
The massive production of data in different formats and sources, governmental, social, and legal has created the possibility that government institutions in México can have a clear vision of what society thinks about specific issues. In public health, these data are the base for generating alert indicators on outbreaks of diseases in various regions or communities, based on epidemiological intelligence concepts. The problem that institutions face is the lack of an architecture of software systems suitable for collect, catalog and analyze for to take better decisions and action routes to the health authorities of our country. The objective is to design a Big Data system covering the four main requirements of large-scale data processing. 1 Support large writing workloads from various sources. 2 An elastic architecture, capable of withstanding the peak load times of work and adding or releasing resources as needed. 3 Support intensive analysis, to be able to admit large and diverse reading requests. 3 High availability to support errors in hardware and software.