What is the best data migration strategy?
The most basic definition of data migration is moving data from one location to another. Data migration can take many forms, but it generally occurs during the upgrade or update of a system.
On the surface, data migration appears to be quite simple, but it is actually a very challenging process with a lot of potential problems for those involved. In order to be successful and avoid these pitfalls, it must be handled carefully and with adequate consideration. The right data migration strategy must also be chosen for the right project, to make sure the best possible chance of success ensues.
There are two main data migration strategies, the big bang approach and the trickle approach. In this blog, we are going to discuss each of these approaches in more detail and examine which one is the “best” for particular projects and teams.
Let’s start by defining each one in simple terms.