ResearchData ArchitectureData Warehouses
In general, central data & analytics teams determine the data architecture for analytical data, decoupled from the landscape of operational data sources. Our survey shows that they continue to pursue clearly centralized architecture concepts. Indeed, this is what the data warehouse, data lake and data lakehouse have in common, regardless of the differences in their detail. However, is this best practice, which has basically lasted for three decades, still suitable for meeting the challenges of the increasingly distributed data landscapes of today’s digital enterprises. Our survey results show that the opinions of different roles in the organization differ considerably in many cases. It is primarily the data & analytics experts in the central teams who adhere to the central approach. They see it as proven and successful.
Jacqueline BloemenTimm Grosser