A bank maintains each of its transaction data as a tuple in the form $($DateTime$,$ UserId, Operation, Amount$),$ where Date Time contains the date and time of the transaction, Userld contains the unique Id of the user who has performed the transaction, Operation contains either D or W referring to whether it's a deposit or withdrawal transaction, Amount refers to the transaction amount $($money$).$ For example, a tuple $(24-01-20231100,12345,$ W$,1000)$ indicates that a user with Id $12345$ has withdrawn an amount of IN $1000$ on $24$th Jan $2023$ at $1100.$ You are given a dataset with all transaction data of the bank for last one year, which contains billions of tuples. The bank is interested to know whether each user who has done at least one transaction in the last one year has deposited more money than what he has withdrawn or vice$-$versa. Write a single pass MapReduce based pseudocode$/$algorithm to obtain the desired result. For example, output $12345$ W if the total amount withdrawn by user with Id $12345$ is more than the total amount that he$/$she deposited. If the total amount deposited is same as the total amount withdrawn, then print a suitable message to indicate the same.