View Architect

Design semantic Datasphere views by using Graphical or SQL views in Data Builder to map raw data into business concepts. This enforces model correctness by defining Fact, Dimension, and Text structures with appropriate associations.

Set up data access controls in SAP Datasphere views by applying DAC rules within your semantic model. This ensures deployment readiness by enforcing specific access policies and securing business concepts translated from raw data.

Optimize Datasphere view performance by documenting persistence strategies and configuring push-down execution for analytics. This approach tunes the semantic views to efficiently process Fact and Dimension structures during query execution.

Yes, you can use both Graphical and SQL views in SAP Datasphere Data Builder for semantic modeling. Both view types support defining associations, applying DAC rules, and translating raw data into structured business concepts.

Use Fact and Dimension associations when building Datasphere views to enforce model correctness and establish clear relationships. Defining these structures with associations translates raw data into interconnected business concepts for analytics.

Yes, this approach provides deployment guidance from development to production for Datasphere views. It ensures deployment readiness by validating semantic usage, access controls, and persistence strategies before moving views to production.