Optimize lookup operations

Choose appropriate data structures to minimize computational complexity when performing lookups. Prefer direct lookups (maps/dictionaries) over repeated array traversals, and use set-based inclusion checks for membership testing rather than multiple conditionals.

Instead of repeatedly traversing arrays:

// Inefficient - requires O(n) lookup each time
const integration = props.integrations.find(({key}) => key === value);
if (!integration) {
  return true;
}

Consider:

1. Creating lookup maps for frequently accessed collections

   // O(1) lookup after initial map creation
   const integrationsByKey = new Map(props.integrations.map(i => [i.key, i]));
   const integration = integrationsByKey.get(value);
   

2. Using array inclusion for multiple condition checks ```typescript // Instead of multiple OR conditions: // if (aggregation === AggregationKey.EPM || aggregation === AggregationKey.EPS) {

// More maintainable and extensible approach: if (aggregation && NO_ARGUMENT_SPAN_AGGREGATES.includes(aggregation as AggregationKey)) { ```

This approach not only improves performance for large datasets but also makes code more maintainable when conditions need to be added or removed in the future.