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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, Josep
Others: Universitat Oberta de Catalunya
Keywords: Big Data
RTP
Issue Date: 7-Jul-2017
Publisher: 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.
Language: Spanish
URI: http://hdl.handle.net/10609/66706
Appears in Collections:Bachelor thesis, research projects, etc.

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