12-23-2022, 11:05 AM
Data masking substitutes realistic, but fake, data for the original values, to ensure data privacy.
Steps:
From app icon, we have to select Data Preparation module.
We have to select the dataset, if we are using existing datasets then we can select from the list given below, else we have to add new dataset that we want to use it using ADD Dataset option.
Once we are done with dataset then select the column (field) that we want to mask it and go to Transforms tab and select the Data Masking option.
Once we select data masking option it asks for start index (from which index we wanted to mask the data) and end index (upto which index we wanted to mask) and finally we have to submit it.
Steps:
From app icon, we have to select Data Preparation module.
We have to select the dataset, if we are using existing datasets then we can select from the list given below, else we have to add new dataset that we want to use it using ADD Dataset option.
Once we are done with dataset then select the column (field) that we want to mask it and go to Transforms tab and select the Data Masking option.
Once we select data masking option it asks for start index (from which index we wanted to mask the data) and end index (upto which index we wanted to mask) and finally we have to submit it.