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Many an extract, transform, load (ETL) transformation phase starts with cleaning the extracted data from duplicate data. For example, transactions with the same key but different dates might be deemed duplicate, and the ETL needs to choose the latest transaction. Usually, this is done by sorting the extract file by the key and the date, and then selecting the most recent record. However, this approach might exact a very high processing cost if the non-key (or, satellite) variables are numerous and long, and especially if the result needs to be re-sorted to bring the extract into the original order. This paper shows that this kind of data cleansing can be accomplished by using a principally different algorithm based on merely marking the duplicate records for deletion in the original extract file. In real-life scenarios, the proposed approach, particularly when the duplicates are relatively rare, can result in cutting the processing time by more than an order of magnitude. <br/><br/>Paul Dorfman, Dorfman Consulting
Session 2426
en
jeff.foxx@sas.com
Many an extract, transform, load (ETL) transformation phase starts with cleaning the extracted data from duplicate data. For example, transactions with the same key but different dates might be deemed duplicate, and the ETL needs to choose the latest transaction. Usually, this is done by sorting the extract file by the key and the date, and then selecting the most recent record. However, this approach might exact a very high processing cost if the non-key (or, satellite) variables are numerous and long, and especially if the result needs to be re-sorted to bring the extract into the original order. This paper shows that this kind of data cleansing can be accomplished by using a principally different algorithm based on merely marking the duplicate records for deletion in the original extract file. In real-life scenarios, the proposed approach, particularly when the duplicates are relatively rare, can result in cutting the processing time by more than an order of magnitude. <br/><br/>Paul Dorfman, Dorfman Consulting
2018-04-03T15:46:21.238-04:00
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2018-04-03T15:46:21.605-04:00
Efficient Elimination of Duplicate Data Using the MODIFY Statement
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