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Evaluation Model for Big Data Integration Tools

  • Ângela Alpoim
  • Tiago Guimarães
  • Filipe PortelaEmail author
  • Manuel Filipe Santos
Conference paper
  • 640 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 932)

Abstract

Given the growing demand and need by enterprises for data and information to positively support the decision-making process, there is no doubt about the importance of selecting the correct and appropriate integration tool for the different types of business. For this reason, the essential objective of this study is to create a model that will serve as a basis to evaluate the different alternatives and solutions that exist in the market able to overcome the big data integration challenges. The evaluation process of data integration product begins with the definition and prioritisation of critical requirements and criteria. In this evaluation model, the characteristics evaluated are categorised into three main groups: ease of integration and implementation, quality of service and support, and costs. After identifying the essential criteria and characteristics, it is necessary to determine the weights that these criteria should have in the evaluation. Then, it needs to verify which solutions existing in the market best fit the needs of the business and can satisfy them more effectively. And lastly, compare those solutions adopting this framework. It is essential to carry out a weighted evaluation, based on well-defined criteria like ease of use, quality of technical support, data privacy and security. This process is fundamental to verify if the solution offers what the organization needs if it meets the business requirements and their integration needs.

Keywords

Big data fabric Evaluation model Big data integration tools 

Notes

Acknowledges

This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2019.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ângela Alpoim
    • 1
  • Tiago Guimarães
    • 1
  • Filipe Portela
    • 1
    Email author
  • Manuel Filipe Santos
    • 1
  1. 1.Algoritmi Research CenterUniversity of MinhoGuimarãesPortugal

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