Extract, load, transform (ELT) is an alternative to extract, transform, load (ETL) used with data lake implementations. In contrast to ETL, in ELT models the data is not transformed on entry to the data lake, but stored in its original raw format. This enables faster loading times.
ELT is most likely to appear on 首席数据官 job descriptions where we found it mentioned 4.2 percent of the time.
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