Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/81113
Title: | Big Data y seguridad |
Author: | Zambrano Martínez, Jorge Luis |
Director: | Garcia-Font, Victor |
Tutor: | Hernández Jiménez, Enric |
Others: | Universitat Oberta de Catalunya |
Abstract: | The goal of this paper is to know which is the best Big Data architecture that is substantially adapted to make a large amount of data processed in real-time provided by the Spanish Notaries. Taking as a starting point the Hadoop ecosystem, where there is a stack of Big Data technologies, which they can solve a daily problem. Those technologies can be extrapolated in many data areas that require real-time processing with proper storage in a cluster. The results obtained in this project are, on the one hand, the creation of large amounts of synthetic data with characteristics similar to the data of the servers of the Notary, in order to test the chosen architecture, and on the other hand, the creation of a fully functional, small-scale virtualized architecture within a virtual cluster, for real-time data capture, with their respective processing and storage in the virtual cluster. |
Keywords: | big data computer security Apache Spark |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 4-Jun-2018 |
Publication license: | http://www.gnu.org/copyleft/fdl.html |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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jorzammaTFM0618memoria.pdf | 4,49 MB | Adobe PDF | View/Open |
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