Scale up the Azure Data Factory integration runtime to increase the number of nodes, thereby enhancing parallelism without modifying the data retrieval logic.

Develop and implement a custom connector specifically designed to optimize data retrieval from the NoSQL database, assuming no suitable connector exists.

Leverage Azure Cache for Redis to temporarily store and quickly access frequently queried data from the NoSQL database, reducing read operations.

Apply data filtering at the source within the NoSQL database to reduce the volume of data read into the dataflow, ensuring only necessary data is processed.