Just a reminder that code conversion is just one piece of the puzzle. These are just few examples of other things to consider for a successful data migration: multi-disciplinary teams management, schema translation, row-level data integrity, new pipelines performance, deduplications, data mapping, documentation, GDPR-compliant data transfers, historical data retention, unifying metadata and data harmonization. The list is long, but you don’t need to deal with it yourself. Not matter the size of your data or project, we can deliver a seamless process guaranteeing the quality of your data on the other side.
