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Data Lake Architecture for a Banking Data Model

Darko Golec

A chapter in Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 12-14 September 2019, 2019, pp 144-148 from IRENET - Society for Advancing Innovation and Research in Economy, Zagreb

Abstract: Industry models provide an excellent opportunity to accelerate development based on best practices and standards which are introduced in industry models. One such model is a banking model for data warehouse. Traditional data warehousing technologies are based on relational database engines, data consistency and high normalization, but in more recent period data lake has become more and more interesting. Main advantages of the data lake landscape are commodity hardware, open source technologies with cost-free software and elastic scalability. In this paper we will present how data lake can be used in addition to data warehouse. The aim of the paper is presenting a possible data lake architecture for the banking industry model which is considered in a certain international banking company.

Keywords: Banking; Data Lake; Data Warehouse; Big Dana (search for similar items in EconPapers)
JEL-codes: D81 (search for similar items in EconPapers)
Date: 2019
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