Anonymization
Last updated
Last updated
Anonymization is a type of information sanitization whose intent is privacy protection. It is a data processing technique that removes or modifies personally identifiable information.
Data masking transform is the process of hiding original data with modified content. It is a method of creating a structurally similar but inauthentic version of an actual data.
Select the Data Masking transform from the Transforms tab.
Select a column from data grid for transformation.
Select a start index and end index which you want to mask.
Click the Submit option.
Below is the snapshot of how the Data Masking transform when applied converts the selected data:
The selected column gets Masked like as shown in the following image:
Data Hashing is a technique of using an algorithm to map data of any size to a fixed length. Every hash value is unique. The supported Hash options are Hash, Sha-1, Sha-2 and MD-5.
Select the Data Hashing transform from the Transforms tab.
Select a column from data grid for transformation.
Select the required Hash Option- Hash, Sha-1, Sha-2, MD-5.
Click the Submit option.
The following image displays the transformed data after the Data Hashing transform is applied.
The selected column gets converted to
Select the Data Variance transform from the Transforms tab.
Select a column from data grid for transformation.
Select the required Value Type-Numeric/Date.
Select an adequate operator from the options and a Percentage value.
Click the Submit option.
Below is the snapshot of how the Data Variance transform when applied converts the selected data:
By applying the Data Variant transform to a Date column.
The column displays the given values.
