In the context of a Lakehouse architecture, data versioning plays a pivotal role in managing data evolution. Considering a scenario where a multinational corporation is transitioning from a traditional data warehouse to a Lakehouse architecture to leverage its advanced features, including data versioning. The corporation operates in a highly regulated industry where data accuracy, compliance, and the ability to audit historical data changes are paramount. Given these constraints, which of the following statements best describes the significance of data versioning in a Lakehouse architecture and its difference from traditional data warehousing approaches? Choose the best option from the four provided.