Create a minibatchqueue from a datastore.

ds = digitDatastore;
mbq = minibatchqueue(ds,'MinibatchSize',256)

mbq = 
minibatchqueue with 1 output and properties:

   Mini-batch creation:
           MiniBatchSize: 256
        PartialMiniBatch: 'return'
            MiniBatchFcn: 'collate'
    DispatchInBackground: 0

   Outputs:
              OutputCast: {'single'}
         OutputAsDlarray: 1
         MiniBatchFormat: {''}
       OutputEnvironment: {'auto'}

Obtain the first mini-batch of data.

X1 = next(mbq);

Iterate over the rest of the data in the minibatchqueue. Use hasdata to check if data is still available.

while hasdata(mbq)
    next(mbq);
end

Shuffle the minibatchqueue and obtain the first mini-batch after the queue is shuffled.

shuffle(mbq);
X2 = next(mbq);

Iterate over the remaining data again.

while hasdata(mbq)
    next(mbq);
end

Reset the minibatchqueue and obtain the first mini-batch after the queue is reset.

reset(mbq);
X3 = next(mbq);

Check whether the mini-batches obtained after resetting or shuffling the minibatchqueue are the same as the first mini-batch after the minibatchqueue is created.

isequal(X1,X2)
isequal(X1,X3)

ans = 
   0
ans = 
   1

The reset function returns the minibatchqueue to the start of the underlying data, so that the next function returns mini-batches in the same order each time. By contrast, the shuffle function shuffles the underlying data and produces randomized mini-batches.