A Big Data Analytics company has built a custom data warehousing solution for a large airline by using Amazon Redshift. The solution helps the airline to analyze the international and domestic flight reservations, ticket issuing and boarding information, aircraft operation records, and cargo transportation records. As part of the cost optimizations, the airline now wants to move any historical data (any data older than a year) into S3, as the daily analytical reports consume data for just the last one year. However, the analysts at multiple divisions of the airline want to retain the ability to cross-reference this historical data along with the daily reports. The airline wants to develop a solution with the LEAST amount of effort and MINIMUM cost. As a Solutions Architect Professional, which option would you recommend to address this use-case?