An Overview of Current Data Lake Architecture Models

As the Data Lakes have gained a significant presence in the data world in the previous decade, several main approaches to building Data Lake architectures have been proposed. From the initial architecture towards the novel ones, omnipresent layers have been established, while at the same time new architecture layers are evolving. The evolution of the Data Lake is mirrored in the architectures, giving each layer a distinctive role in data processing and consumption. Moreover, evolving architectures tend to incorporate established approaches, such as Data Vaults, into their layers for more refined usages. In this article, several well-known architecture models will be presented and compared with the goal of identifying their advantages. Next to the architecture models, the topic of Data Governance in the terms of the Data Lake will be covered in order to expound its impact on the Data Lake modeling.