Data Strategy.
Design data architecture for multi-domain deployment.
Multi-domain deployment requires careful data architecture: some data can be shared (improving models), some must be isolated (regulatory requirement).
Data isolation strategies: logical isolation (same infrastructure, access controls), physical isolation (separate infrastructure), or hybrid approaches.
Cross-domain analytics require privacy-preserving techniques: aggregation, differential privacy, or federated learning approaches that improve models without exposing individual data.
LOGICAL ISOLATION
Same infrastructure with access controls. Lower cost, requires strong access management.
COST EFFICIENTPHYSICAL ISOLATION
Separate infrastructure per domain. Highest isolation, highest cost and operational burden.
MAXIMUM ISOLATIONHYBRID
Physical isolation for sensitive domains, logical for others. Balances cost and compliance.
BALANCEDFEDERATED
Distributed processing keeps data in place. Advanced but enables cross-domain learning without data sharing.
ADVANCED