If we are going to discuss handling 10,000 records efficiently, which mechanism can we use?

For 10,000 records, you can use pagination or chunking. Server‑side pagination with SQL LIMIT/OFFSET or key‑set pagination reduces memory usage. If the data is streamed, use a cursor or event stream (Kafka, Azure Event Hubs). For batch jobs, process in smaller batches (e.g., 500 rows) and commit after each batch. Caching frequently accessed subsets with Redis or Azure Cache for Redis can also improve performance. The choice depends on whether the data is read‑only, updated frequently, or needs real‑time processing.