As more organizations build on the SAP Business Data Cloud (BDC), a recurring challenge emerges: how do you bring Databricks workloads and ML pipelines closer to the semantic models that already live in SAP Datasphere — without duplicating the logic?
Datasphere's semantic layer is where analytical value is concentrated. Whether surfaced as Analytical Models — with explicitly defined measures, dimensions, and hierarchies — or as structured views that encapsulate complex join logic, these artifacts are the foundation for interactive stories in SAP Analytics Cloud.
