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Published in:
2021 | OriginalPaper | Chapter
IT Solutions for Big Data Processing and Analysis in the Finance and Banking Sectors
Author : Catalin Ceaparu
Published in: Intelligent Methods in Computing, Communications and Control
Publisher: Springer International Publishing
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Abstract
This paper aims to give a general overview of the technologies used by two important trends in Business Intelligence nowadays, that continue to reshape the Data Architecture landscape worldwide. Bringing equally relevant value to businesses today, Fast Data and Big Data complete each other in order to enable both quick/short term as well as thorough/long term commercial strategies of companies, regardless of the industry they are part of. The body and conclusion of this paper will focus on the benefits of using the newest FinTech solutions for both aforementioned data processing models, while clearly stating the differences between the two. Both open source and proprietary type of solutions will be presented with the purpose to offer a thorough picture as to what the best architectural landscape of Big Data analytics should look like.