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Load transform extract elt3/20/2024 ![]() Here are some details to understand about ETL: ![]() That’s why some types of data warehouses require ETL-because the transformations must happen before the data is loaded. This is so that your business intelligence platform can analyze the information as a single, integrated unit. As a part of this data transformation process, data mapping may also be necessary to combine multiple data sources based on correlating information. Therefore, any data you load into your OLAP data warehouse must be transformed into a relational format before the data warehouse can ingest it. Online Analytical Processing (OLAP) data warehouses- whether they are cloud-based or onsite-need to work with relational SQL-based data structures. Read more: ETL Methodologies: A Guide to Our Data Warehouse Integration Platform ![]() So the question is: Should you transform your data before or after loading it into the data repository? To answer that, you need to understand ETL and ELT separately. We’ve already established that ETL and ELT perform these steps in a different order from one another.
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