Abstract
In databases field, the term Data Lake is increasingly common, which is a new raw data storage technology to undergo further advanced processing and analysis. Today there are for different ways to implement Data Lake architecture, namely: Data Lake On-Premises, Cloud Data Lake, Hybrid Data Lake and Multi-Cloud Data Lake. Each of these architectures has their own advantages and disadvantages, and yet the new trend is to go in Cloud. In this work, we will briefly explain what a Date Lake is, what the for different architectures are, and we will broadly present the major benefits of the Cloud architecture and its shortcomings in order to provide a preliminary guide on the implementation of Data Lake architecture.
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