In today’s databases some values are stored more than once. For example, a person’s name might be stored in the Customer_table as well as in the Billing table. It can be beneficial to keep both values in sync. To enable this, DATPROF Privacy can save the translation of an anonymization to a separate table. This feature can be found in the Function Editor, under the tab “Translation table”. Here you can enable or disable the creation of a translation table. When enabled you can select in which schema and under what name you want to save the table (i.e. TT_FIRST_NAME, TT as in Translation Table).
A translation table keeps a copy of the old value (i.e. the original first name) and the new value (i.e. the shuffled first name) of an anonymization function. It also adds the primary key value(s) of the anonymized table. These keys can be used in other functions to find the right anonymized value in the translation table, so another table can be anonymized in the same manner.
A translation table is often used as input for a value lookup. A translation table enables consistent anonymization throughout a database or chain of databases. It is imperative that the key you use is available in both systems and/or tables. A primary key isn’t always the right key for this, which is why DATPROF Privacy allows you to designate a ‘translation key’. This is a virtual key; no actual constraints will be created in the database but any columns designated as translation key will be added to the translation table. Social security numbers and account numbers, for instance, are good candidates for a translation key.
Using a translation table can be straightforward but it is also possible to combine multiple translation tables into one view or table. For example, you have multiple translation tables as a result of setting multiple functions on a customer table; a first name shuffle, a last name shuffle and a function which generates a new social security number. All of the resulting translation tables will have the same key: the primary key of the customer table and any translation keys you may have defined. Using these keys and a script you can create a table or view which encompasses all of the translation tables. Such a table or view is very useful later on when you apply the exact same anonymization elsewhere in your database using just one function, instead of three.
Your translation tables contain the original values. We often advise clients to treat translation tables as if they contain production data. To minimize the risk, you could place any translation tables in a separate schema with a separate privilege scheme. Going one step further, you could anonymize data on one database and distribute test sets from there, rather than having developers directly access potentially sensitive data.
Data changes in DATPROF Subset, Data subsetting, test data, reduce data storage