During peak hours, a search that uses a KV Store lookup frequently times out. The search runs on daily data but the KV Store collection has millions of records. Which approach is most effective to reduce lookup time while maintaining data freshness?
This reduces the dataset size and improves lookup speed.
Why this answer
Pre-computing lookup results into a smaller CSV that is refreshed frequently can improve performance while keeping data up-to-date.