Data Lake Versus Data Warehouse Architecture: A Comparative Study

Each day huge quantities of data are generated from digital technologies and information systems. Therefore, processing these massive data requires a specific architecture and a good knowledge on how to handle data. Traditional databases management system can no longer be used for this type of data since they were originally designed for limited and structured data. Moreover, dedicated architecture known as Data Lake has been developed in order to extract valuable information hidden in data. The main objective of this paper is to explore the two architectures, namely, data warehouse and data lake. Furthermore, it describes the main differences and exposes key factors of each one.