What are Data Spaces in Data Cloud and when do you use them?

Data Spaces are logical partitions within a single Data Cloud org that isolate data for different business units, brands, or regions. Key use cases:

1. Business Unit Separation — a global company with multiple brands can keep each brand's customer data in a separate Data Space, preventing cross-contamination of segments and profiles.
2. Regional Data Residency — partition data by geography to support data sovereignty requirements (e.g., EU data stays in the EU Data Space while US data is in a separate partition).
3. Access Control — users can be granted access to specific Data Spaces only, so regional teams see only their data. Each Data Space has its own Data Streams, DMOs, Segments, and Activations. Data Spaces reduce the need to maintain multiple separate Data Cloud orgs for different business divisions.