A company's data engineer is tasked with enhancing the performance of SQL table queries on data stored in an Amazon Redshift cluster. Due to budget constraints, expanding the cluster size is not an option. The company utilizes the EVEN distribution style for loading data across multiple tables, with some tables containing hundreds of GB of data while others have less than 20 MB. What solution would address these needs effectively?