A model of multilayer tiered architecture for big data

Main Article Content

Sonia Ordóñez Salinas
Alba Consuelo Nieto Lemus

Abstract

Until recently, the issue of analytical data was related to Data Warehouse, but due to the necessity of analyzing new types of unstructured data, both repetitive and non-repetitive, Big Data arises. Although this subject has been widely studied, there is not available a reference architecture for Big Data systems involved with the processing of large volumes of raw data, aggregated and non-aggregated. There are not complete proposals for managing the lifecycle of data or standardized terminology, even less a methodology supporting the design and development of that architecture. There are architectures in small-scale, industrial and product-oriented, which limit their scope to solutions for a company or group of companies, focused on technology but omitting the functionality. This paper explores the requirements for the formulation of an architectural model that supports the analysis and management of data: structured, repetitive and non-repetitive unstructured; there are some architectural proposals –industrial or technological type– to propose a logical model of multi-layered tiered architecture, which aims to respond to the requirements covering both Data Warehouse and Big Data.

Article Details

Section
Discussion papers
Author Biographies

Sonia Ordóñez Salinas, Universidad Distrital Francisco José de Caldas, Bogotá

Ph.D. in Systems, M.Sc. in Systems and Computing and Statistics of the Universidad Nacional de Colombia (Bogota) and Systems Engineer of the Universidad Distrital Francisco José de Caldas (Bogota). She has a widely experience in statistic models to transform text in graphs, recovery systems and databases, processing of natural language, data mining, and social networks. She currently is a full time professor in the Universidad Distrital Francisco José de Caldas and she is the leader of the GESDATOS research group, associated to the same university.

Alba Consuelo Nieto Lemus, Universidad Distrital Francisco José de Caldas, Bogotá

Systems engineer of the Universidad Nacional de Colombia (Bogota), M.Sc. in in Systems Engineering and Computing of the Universidad de los Andes (Bogota). She has a wide professional experience in software development, software architectures, data management and software quality management, both in the public and private sectors. She currently works as a full time professor of the Universidad Distrital Francisco José de Caldas and she is a member of the GESTADOS and ARQUISOFT research groups, associated to the same university.

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