Import user records from legacy systems into the Akamai Identity Cloud.
Download data migration files
Downloading the files need to do a self-service data migration.
Configure system requirements
Configuring your computer for self-service data migration. Note that data migration requires Python 3.0 or later.
Map legacy data to a schema
Matching a legacy data field (cell phone number) to its corresponding Identity Cloud user profile attribute (mobileNumber).
Create a data migration datafile
Creating a comma-separated values file containing all the user accounts and user account information to be migrated.
Create data transformations
Allows you to do such things as turn the yes value used into your legacy system into the true value used by Identity Cloud. Data migration ships with several prebuilt data transformations, including one for converting yes/no values to true/false values.
Transform user passwords
Migrate user passwords along with user email addresses. That way, users can log in to Identity Cloud using the exact same credentials they’ve used to using.
Transform relational data
Converting relational data into an Identity Cloud plural attribute. Useful for things like newsletter subscriptions, where a user might subscribe to one of your newsletters, five of your newsletter, or none of your newsletters.
Create custom data transformations
Custom transformations enable you to do such things as transform a country name (United States) to a country abbreviation (US).
Perform a data migration dry run
Do a practice run that goes through the entire data migration process (keeping detailed records along the way) without actually copying any data.
Migrate user data
Copy data from your legacy system to the Identity Cloud.
Retry a failed migration
Taking another crack at records that didn’t get copied during your initial migration.
Conduct a delta migration
Copying over only: 1) new records added since your initial migration; and, 2) records that have changed since your initial migration.
Updated about 1 year ago