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  • You could use a groovy field with IF condition 1. check if the source column value has a "/", if so format in the particular format and convert to a standard format like dd-mmm-yyyy 2. check if the source column value has a ".", if so format in the particular format and convert to a standard format like dd-mmm-yyyy

  • In our current instance there's a lot of testing going on and before go-live we will need to clean up all these testing and have only a selected dataset. For example.. While testing on forecasting, there has been many future forecast versions created as well as test transaction data has gone into many cubes. For go-live, we need to delete the above mentioned test forecast versions as well as the corresponding transaction data in multiple cubes. What would be the best practice for this Regards Ch…