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yml) to the postgresql_anonymizer role to the database servers
from the top result below
https://postgresql-anonymizer.readthedocs.io/en/latest/INSTALL/
yml) to the postgresql_anonymizer role to the database servers
https://postgresql-anonymizer.readthedocs.io/en/latest/UPGRADE
If you're running PostgreSQL Anonymizer on an obsolete PostgreSQL version, please upgrade your instance first
https://postgresql-anonymizer.readthedocs.io/en/latest/anonymous_dumps/
com/dalibo/postgresql_anonymizer:stable
ANON="docker run --rm --interactive $IMG /dump
https://postgresql-anonymizer.readthedocs.io/en/latest/static_masking/
This basically means that PostgreSQL will rewrite all the data on disk
https://postgresql-anonymizer.readthedocs.io/en/latest/replica_masking/
With the Replica Masking feature, you can use PostgreSQL logical replication to create an anonymized clone of your production database
https://postgresql-anonymizer.readthedocs.io/en/stable/masking_views/
PostgreSQL can handle generalization very easily with the RANGE data types, a very powerful way to store and manipulate a set of values contained between a lower and an upper bound
https://postgresql-anonymizer.readthedocs.io/en/latest/masking_functions/
For more advanced faking methods, in particular if you are looking for localized fake data, PostgreSQL Anonymizer provides an advanced faking engine with localisation support