In data transformation scenarios involving multiple pipelines or circular references, loops can be resolved by using aliases (alternative names for tables) or by providing context that clarifies which version of a table to use at each point in the data flow. Simply removing tables or using only one method is not sufficient - you need both options available depending on the complexity of the mapping.