Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/89928
Title: | Desarrollo de una solución business intelligence mediante un paradigma de data lake |
Author: | Tagarro Martí, José María |
Director: | Daradoumis, Thanasis |
Tutor: | Andrés Sanz, Humberto |
Abstract: | This paper implements a Business Intelligence solution following the Data Lake paradigm on Hadoop's Big Data platform with the aim of showcasing the technology for this purpose. Traditional data warehouses require incoming data to be transformed before being stored by means of an ETL process (Extract-Transform-Load) to adopt a predefined data model. However, the Data Lake paradigm proposes storing first the organization's data in its original format in such a way that they can later be transformed and consumed by ad hoc processes based on the business needs. Finally, there is a review of the advantages and disadvantages of deploying a unified data platform for both Big Data and traditional Business Intelligence use cases as well as the importance of using solutions based on open source and open standards. |
Keywords: | data warehouse big data business intelligence ETL processes |
Document type: | info:eu-repo/semantics/bachelorThesis |
Issue Date: | 13-Jan-2019 |
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 | |
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jtagarroTFG0119memoria.pdf | Memoria del TFG | 3,78 MB | Adobe PDF | View/Open |
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