File system, database managers and Hadoop, evolution or retrograde?

Authors

  • María del Pilar Ángeles Universidad Nacional Autónoma de México

Keywords:

transactional and analytical systems, business intelligence, big data, data science, in memory databases

Abstract

The evolution of information systems has been marked by changes in processing, response time, and type and quantity of information. In the beginning, the need was to automate the daily operation of a business. Subsequently, analysis was required to make strategic business decisions. Currently, it is necessary to predict future events or behaviors from large amounts of varied data from social media, videos, or emails. The most recent proposals could make us think why are we returning to the starting point, if we started with file systems and then evolved to relational database managers, which solved various problems of insecurity and lack of data consistency.

This article highlights the changes in information systems technologies according to the needs of organizations, reflects on whether these represent an evolution or a setback, and suggests technological solutions according to each given need, because that in style is not always what is required.

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Author Biography

María del Pilar Ángeles, Universidad Nacional Autónoma de México

Profesor Titular B de tiempo completo, Ingeniera en Computación, Maestra en Ciencias y Ph.D. in Computer Science. Sus áreas de interés y experiencia, por más de 25 años, son principalmente en calidad e integración de datos en ambientes federados, de-duplicación, proveniencia de datos, manejo de datos maestros, minería de datos y un poco debig data y ciencia de datos.

Published

2021-11-03

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