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Explain how data ages in splunk?
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Answer / Radhika Lahori
Data aging in Splunk is a process that helps manage the storage and retention of data. Data can be set to age out after a certain period, either based on a specific time frame or event count. When data ages out, it is moved to less expensive storage tiers or permanently deleted to free up space. This allows Splunk to maintain performance while managing large amounts of data over extended periods.
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