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ETL Application with R Shiny Visualization
Max Bergmann1, Dennis Hübner1, Antonia Ewald1
1Data Integration Center, Medical University Lausitz - Carl Thiem, Cottbus, Germany.
None:
We present a modular ETL framework tailored to the healthcare domain, designed for flexibility across heterogeneous data sources and robust correctness through automated validation and concurrency control. Coupled with an interactive R/Shiny application, our solution provides real-time monitoring, error exploration, and performance visualization for complex parallel data pipelines. Benchmarking against legacy linear workflows demonstrates a reduction in processing times by a factor of 1.59 and error detection times of factor 2.8 with the help of the R/Shiny monitoring. This paper details the system's architecture, logging schema, and dashboard features, highlighting its impact on operational transparency and data quality assurance in clinical research.
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