Your analytics team at Nimbus Tech Solutions is developing a data lake on Google Cloud. As part of the foundational architecture, you plan to store raw ingested data in Cloud Storage. Approximately 25 GB of data is expected to be ingested daily. The finance team is concerned about the rising costs of storing older data. Current business requirements include: Older data can be removed at any time. There are no consistent access patterns for historical data. Historical data must be instantly accessible when needed. There should be no cost associated with retrieving stored data. Which approach would best help minimize storage costs?