Implement a single, monolithic query that aggregates all time-series data in one operation, assuming the query engine will optimize performance automatically.

Partition the Delta Lake table by the time dimension and apply time-based indexing, enabling targeted queries that minimize data scanned and improve performance.

Store the time-series data in a separate, non-indexed format and rely on brute-force scanning for each query, prioritizing simplicity over performance.

Export the time-series data to an external time-series database, bypassing Delta Lake's built-in optimizations for time-series analysis.