Implementing a Lakehouse in the Public Cloud

Data platforms are key for analytics and AI as there is no AI without data.

The lakehouse represents a novel architecture combining features of data lakes and data warehouses (read more in our latest PhD project publication).

As part of a dedicated Master course for students of software engineering and computer science at the Universität Stuttgart, Arnold Lutsch and Dr. Christoph Gröger from Bosch held an exercise on how to implement a lakehouse in the public cloud. The exercise was based on a real-world use case and included latest data platform technologies such as massively parallel processing engines and highly scalable storage systems.

In this way, the students had the chance to dive into latest data technologies from practice combined with state-of-the-art research on data platform architectures.