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Title: Desarrollo de una solución business intelligence mediante un paradigma de data lake
Author: Tagarro Martí, José María
Director: Andrés Sanz, Humberto
Tutor: Daradoumis Haralabus, Atanasi  
Keywords: data warehouse
big data
business intelligence
ETL processes
Issue Date: 13-Jan-2019
Publisher: Universitat Oberta de Catalunya (UOC)
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.
Language: Spanish
Appears in Collections:Bachelor thesis, research projects, etc.

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