Big Data Glossary
What is Reverse ETL
Definition of Reverse ETL
What is Reverse ETL?
Reverse ETL (Extract, Transform, Load) is a process that involves taking data from a target system and loading it into a source system. It is the opposite of traditional ETL, which involves extracting data from a source system, transforming it, and loading it into a target system.
Reverse ETL is typically used in situations where data needs to be moved from a reporting system or data warehouse back to the source systems for further processing or analysis. This can be useful in scenarios such as data archiving, data governance, and data compliance. The process of reverse ETL typically involves the following steps:
Extraction: Data is extracted from the target system, such as a data warehouse or reporting system.
Transformation: The data is transformed to match the format and structure of the source system.
Loading: The transformed data is loaded into the source system. Reverse ETL can be a complex process, as it requires a detailed understanding of both the source and target systems, and the data that needs to be moved. It also requires careful handling of the data to ensure that it is loaded correctly and without any errors.
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