What does Shazzam Batching improve in performance?

Shazzam Batching specifically enhances performance in scenarios where only one MID (Multi-Instance Database) is available. By grouping data into batches, Shazzam Batching allows for more efficient processing, minimizing the overhead associated with handling data individually. This batch processing leads to better resource utilization and faster throughput, especially in environments constrained to a single MID.

The batching technique optimizes how data is retrieved and processed, thereby reducing the latency typically experienced when operating on a per-record basis. In essence, Shazzam Batching is designed to streamline performance and improve efficiency, particularly in configurations limited to a single MID.

Other options present different aspects of data processing but do not directly relate to the specific performance improvement that Shazzam Batching brings in multi-instance environments. For instance, reducing the size of data processed would involve data optimization techniques rather than batching, and eliminating the need for data classification isn't a primary focus of Shazzam Batching. Additionally, extending the time needed for data polling contradicts the purpose of batching, which is aimed at reducing processing time and improving speed.