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Data Lake Architecture for a Banking Data Model

In: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 12-14 September 2019

Author

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  • Golec, Darko

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.

Suggested Citation

  • Golec, Darko, 2019. "Data Lake Architecture for a Banking Data Model," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2019), Rovinj, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 12-14 September 2019, pages 144-148, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    • Handle: RePEc:zbw:entr19:207674
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    More about this item

    Keywords

    Banking; Data Lake; Data Warehouse; Big Dana;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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