It is easy to assume data migration is a straightforward process: set up a connection, set up some logic, and make it flow. In actuality, there is much more involved in data migration - whether it is between different systems, or between environments in the same system.
From scheduling every action along the way and ensuring data quality is taken into account, to planning for failure and how to tackle any situation you may encounter, this session shares practical insights and experiences to make the steps and potential pitfalls a little more clear.
