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Question: How does data compression impact storage and processing in a data warehouse?
Answer: Data compression reduces the storage space required for data, leading to cost savings and improved query performance in a data warehouse.

Example:

Applying columnar compression to a large dataset in a data warehouse to reduce storage costs.
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