The same automatic vehicle location feed can produce a nightly MapReduce ridership summary or a continuous delay detector. What contrast should planners remember?

Batch MapReduce fits closed datasets such as nightly ridership summaries, while streaming applications process continuous feeds for timely outcomes like delay detection. Treating them as identical, assuming nightly MR is always faster for live delays, or requiring MR to delete the feed before streaming can run misstates the contrast.