![]() ETL takes data that is heterogeneous and makes it homogeneous. It would be great if data from all these sources had a compatible schema from the outset, but this is rarely the case. When creating a data warehouse, it is common for data from disparate sources to be brought together in one place so that it can be analyzed for patterns and insights. Once loaded, the ETL process is complete, although in many organizations ETL is performed regularly in order to keep the data warehouse updated with the latest data.
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