Começando a introdução do trabalho

Buenas,

Começei minha introdução. Quem quiser contribuir lendo, corrigindo e fazendo críticas, é bem vindo:

Introduction 

Public and private companies have monitored volcanic activities daily. The monitoring process has generated a huge number of data, that should be transmitted, proceeded, validated and stored. Example of volcano data are temperature, images, seismic signals, sounds, gas emission and gravitational field. To work with this huge amount of data, Big Data products are required, because volume of non-structured data that should be manipulated to generate knowledge about volcanos. All information generated from monitoring process to Big Data products has the objective to support scientists to create solutions to reduce or eliminate volcano disasters.

            However, the existent solutions to reduce and eliminate volcano disasters have been improved constantly, because the new technologies have risen. New technics and tools have been created to provide better and faster volcano information to help scientists in their analysis.  Following this way, this paper has the main objective to investigate the viability to apply Big Data and Data Analytics joined with datasets on Volcanos disaster prediction and mitigation. The specific objectives from this paper are: map the main volcano datasets available, to compare the available volcano datasets, apply Data Analytics technics on these datasets and map computational tools for volcano studies.

            This paper starts presenting the research about Big Data and Data Analytics concepts, the main volcano datasets found around the world, and volcano technical information. The result from this effort is a list of main volcano datasets, the main dataset attributes for volcano eruption prediction. This paper target is an analysis of availability to apply different datasets for Data Analytics algorithms and return a success volcanic eruption prediction result.