File system, database managers and Hadoop, evolution or retrograde?
Keywords:
transactional and analytical systems, business intelligence, big data, data science, in memory databasesAbstract
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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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Revista Digital Universitaria es editada por la Universidad Nacional Autónoma de México se distribuye bajo una Licencia Creative Commons Atribución-NoComercial 4.0 Internacional. Basada en una obra en http://revista.unam.mx/.