The Observability Lakehouse in Operations Insights is a data repository for operational analytics:
Enables custom analytics (B): Supports trending (e.g., usage patterns), forecasting (e.g., resource
needs), capacity planning, and workload profiling using advanced analytical tools, enhancing
resource optimization.
Allows Oracle Enterprise Manager’s data (D): Integrates operational data from Enterprise Manager
(e.g., database metrics) for use cases like performance analysis and anomaly detection.
Why not A or C?
Statistical analysis of AI data (A): Too vague; Lakehouse focuses on operational data, not AI-specific
stats.
Identifies future resource usage (C): Partial benefit of B, but not a standalone feature.
These capabilities improve operational decision-making.
Reference: Operations Insights Observability Lakehouse
