Hello, I have a query please. The attached table is a snapshot (fictional names etc used) of an Excel dataset of 10000 records, where employees of a company are each given a Card to access the office building, and this dataset logs their details each time they have entered the building, by swiping their card at the entrance door, in the past week.
In the ideal world, every employee should have a unique "Employee Number" and also a unique "Card Number." So in this example, John Smith should have an "Employee Number" of 100, and a "Card Number" of 1. However, we can see that he also has a "Card Number" of 2 on two occasions he has entered the building, for whatever reason.
Also, we can see that for Sarah Brown, her "Card Number" should indeed be 5, but for some reason, she has two "Employee Numbers" (400 and 500) when in fact she should just have one "Employee Number" of 400.
What is the best way, using FME, that I can test a dataset like this, so that it "passes through" (to the next stage of the workbench process) each occurrence where an employee has the expected "Employee Number" and expected "Card Number" for each of their records, but also flags up all occurrences where they have either different "Employee Numbers" or different "Card Numbers" ?
Thanks