Abstract
ETL processes are responsible for extracting, transforming and loading data from data sources into a data warehouse. Currently, managing ETL workflows has some challenges. First, each ETL tool has its own model for specifying ETL processes. This makes it is difficult to specify ETL processes that are beyond the capabilities of a chosen tool or switch between ETL tools without having to redesign the entire ETL workflow again. Second, a change in structure of a data source leads to ETL workflows that can no longer be executed and yields errors.
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