Data Lakehouse - a Novel Step in Analytics Architecture

Data Lakes, as a modern concept of raw analytical data storage, were presented as a next step that will take over Data Warehouses. In the course of time after the Data Lakes emergence, it is clear that those two architectures complement each other with their actual usage. A new architecture concept, Data Lakehouse, has recently been introduced as a next step in the analytical data storage. The Data Lakehouse architecture should be able to deal with currently insurmountable challenges that both Data Warehouses and Data Lakes cannot overcome. In this article, a current state of the Data Lakehouse architecture and vendor implementation will be given. Furthermore, a comparison of the Data Lakehouse will be done between both Data Warehouses and Data Lakes with a focus on tackling their known challenges. Finally, an approach to combine existing Data Warehouses and Data Lakes into a unified Data Lakehouse will be presented, with a special focus on the high-level architecture.