Data migration challenges and how to overcome them

Data migrations are often perceived as daunting tasks for data teams due to their complexity, time consumption, and potential for data loss or change. Despite these challenges, migrating to modern data stack tools provides long-term benefits such as scalability, cost efficiency, and improved governance. Common types of migrations include complete overhauls, new data warehouses, transformation workflows, and source data updates. Modern tools like Datafold help alleviate migration stress by automating code translation, validation, and cross-database data comparisons, ensuring data parity between legacy and new systems. While a migration can temporarily divert resources away from other analytics work, leveraging automated tools and professional services can help manage this strain, ultimately enabling more efficient and scalable data systems.