Having discussed the benefits of data transformation, it is worth discussing some of the notable challenges. The process of data transformation can be challenging for several reasons:

• It requires a qualified team of experts and state-of-the-art infrastructure. The cost of attaining such experts and infrastructure can increase the cost of the operation. 
• Data transformation requires data cleaning before data transformation and data migration. This process of cleansing can be expensively time-consuming.
• Generally, the activities of data transformations involve batch processing. This means that sometimes, we might have to wait for a day before the next batch of data is ready for cleansing. This can be very slow.