Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/66706
Title: | Arquitectura Big Data de ingesta en Real Time |
Author: | Fernández Garrido, Ferran |
Director: | Cabanillas Barbacil, David |
Tutor: | Curto Díaz, José |
Others: | Universitat Oberta de Catalunya |
Abstract: | The aim of this project, is to develop and deploy a new Big Data architecture system to ingest data in real time. We will take as a reference the most common technologies spread across the main technological companies nowadays such as: Netflix, Facebook, Amazon,¿ As an example, Netflix uses Kafka as a main technology for TV shows and movies recommendations. In order to develop our target, we will use the most trendy technologies that are commonly used on Big Data. We will use it to solve an easy problem that could be extrapolated to many other use cases in data ingestion environment. |
Keywords: | Big Data RTP |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 7-Jul-2017 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Presentacion_TFM_Ferran_Fernandez.pptx | 104,63 MB | Microsoft Powerpoint XML | View/Open | |
ffernandez3495TFM0617memoria.pdf | Memoria del TFM | 2,09 MB | Adobe PDF | View/Open |
ffernandez3495TFM0617presentación.pdf | Presetnación del TFM | 858,68 kB | Adobe PDF | View/Open |
Share:
This item is licensed under a Creative Commons License