A retail company uses Amazon Redshift for its 1 PB data warehouse. Several analytical workloads run on a Redshift cluster. The tables within the cluster have grown rapidly. End users are reporting poor performance of daily reports that run on the transaction fact tables.
A database specialist must change the design of the tables to improve the reporting performance. All the changes must be applied dynamically. The changes must have the least possible impact on users and must optimize the overall table size.
Which solution will meet these requirements?
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