Data freshness, sometimes referred to as data timeliness, is the frequency with which data is updated for consumption. It is an important dimension of data quality because recently refreshed data is more accurate and, thus, more valuable.

Since it is impractical and expensive to have all data refreshed on a near real-time basis, data engineers ingest and process most analytical data in batches with pipelines designed to update specific data sets at a similar frequency in which they are consumed. 

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