In Azure Data Factory, Data Movement Units $($DMUs$)[$now referred to as Data Integration Units $$ DIUs$]$ are the terms used to describe the computational resources in Azure Data Factory, and they are crucial for optimizing the performance of data integration tasks.

Let$$s walk through a practical example of migrating $500$GB of data from Amazon S$3$ to Azure Data Lake Storage Gen$2$ using Azure Data Factory. If you allocate $32$ DIUs with a throughput of $250$MB per minute per DIU for a simple copy operation, the estimated time required to migrate the data will be $62\mathrm{.}5$minute $[32$ DIUs $*250$ MB$/$min $=8000$ MB$/$min or $8$GB$/$min$,$ so for $500$GB it will take $62\mathrm{.}5$min$].$ With the same throughput, and by setting the maximum allowed DUIs, the minimum data transfer time could be ~$7\mathrm{.}81$min.$$

What limit $($max DIUs per hour$)$ is in place to ensure efficient resource management and optimal performance for large$-$scale data processing tasks in Azure Data Factory?