The 5 R’s of Data Migration

A migration solution must have the following characteristics:

Robust and resilient

Manage all aspects of the data extraction, transformation, cleansing, validation and loading into the target — and manage high volumes of data, errors in source and target connections, and disk space and memory problems.

Rapid

Execute efficiently and take advantage of existing source or target facilities to enable rapid processing.

Reporting

Provide progress indicators during migration and reconcile the completed process.

Recoverable

Recover from the point of failure when necessary.

Reusable

Ability to reuse components of the migration in other projects, including transformation functions, error handling and data cleansing routines.

One thought on “The 5 R’s of Data Migration

  1. A great list of the critical development and run-time aspects of data migration.

    To this I’d add an item for design-time: “Quickly assess and model the data contents and relationships, within and between systems.”

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s