Mission Data Lakehouse

Definition

Mission Data Lakehouse is unified storage architecture for raw, structured, and analytic mission data used by AI and operators. In defense applications, it keeps telemetry, imagery, logs, doctrine, and model outputs available for training and review. The hard part is classification sprawl, retention mistakes, and slow query paths, especially when systems are deployed across contested links, coalition boundaries, and mixed human-machine teams. KhanBMS treats it as a rear and edge data backbone for KhanBMS learning loops, tying the concept back to modular command, edge execution, and auditable authority.

Reference attributes

Layer

data platform architecture

Operational value

Keeps telemetry, imagery, logs, doctrine, and model outputs available for training and review

Primary risk

Classification sprawl, retention mistakes, and slow query paths

KhanBMS role

A rear and edge data backbone for KhanBMS learning loops

Related terms

• AI Data Fabric
  Integrated data layer that connects operational, sensor, model, metadata, and governance sources for AI workflows.
• Model Observability
  Monitoring of model inputs, outputs, drift, latency, confidence, and failures after deployment.
• Predictive Maintenance AI
  Machine learning that forecasts equipment failure and maintenance needs from telemetry and history.
• AI Bill of Materials (AIBOM)
  Inventory of models, datasets, adapters, tools, dependencies, licenses, and provenance in an AI system.