What do connectors optimize to improve data transfer efficiency?

Connectors optimize data transfer efficiency primarily by implementing file splitting into smaller chunks. This approach enhances performance by allowing data to be transmitted in manageable portions rather than as a single large file. Sending smaller chunks can reduce the likelihood of network congestion, minimize the time needed for initial data transfer, and improve the overall speed and reliability of the data transfer process.

Additionally, smaller chunks can be processed in parallel, allowing for better resource utilization and faster throughput. In scenarios where large datasets need to be transferred, this technique can significantly reduce transfer times and make the integration process smoother.

The other options do not directly contribute to the optimization of data transfer efficiency in the context of connectors. Data visualization techniques serve to represent data for easier comprehension rather than enhance transfer speed. Data encryption methods focus on securing data during transfer, which may add overhead and potentially slow down the process. Data archiving solutions are concerned with long-term data retention rather than the immediate efficiency of current data transfers.