ELT copies or exports the data from the source locations, but instead of loading it to a staging area for transformation, it loads the raw data directly to the target data store to be transformed as needed.
ELT, on the other hand = Extract, Load, Transform.Īccording to IBM, “the most obvious difference between ETL and ELT is the difference in order of operations. Data loading describes the insertion of data into the target data store, data mart, data lake or data warehouse.Ī properly designed ETL system extracts data from the source systems, enforces data quality and consistency standards, conforms data so that separate sources can be used together, and finally delivers data in a presentation-ready format.“Īs stated above, ETL = Extract, Transform, Load.Data transformation processes data by cleaning and transforming them into a proper storage format/structure for the purposes of querying and analysis.Data extraction involves extracting data from homogeneous or heterogeneous sources.The ETL process is often used in data warehousing. According to Wikipedia, “Extract, Transform, Load (ETL) is the general procedure of copying data from one or more data sources into a destination system which represents the data differently from the source(s).
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