Gamper, Johann - ed. ; Wrembel, Robert - ed.
Today`s ETL tools provide capabilities to develop custom code as user-defined functions (UDFs) to extend the expressiveness of the standard ETL operators. However, while this allows us to easily add new functionalities, it also comes with the risk that the custom code is not intended to be optimized, e.g., by parallelism, and for this reason, it performs poorly for data-intensive ETL workflows. In this paper we present a novel framework, which allows the ETL developer to choose a design pattern in order to write parallelizable code and generates a configuration for the UDFs to be executed in a distributed environment. ; This enables ETL developers with minimum expertise in distributed and parallel computing to develop UDFs without taking care of parallelization configurations and complexities. We perform experiments on large-scale datasets based on TPC-DS and BigBench. The results show that our approach significantly reduces the effort of ETL developers and at the same time generates efficient parallel configurations to support complex and data-intensive ETL tasks.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 29, number 1 (2019) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Jul 14, 2025
Jul 10, 2025
18
https://zbc.uz.zgora.pl/repozytorium/publication/100935
| Edition name | Date |
|---|---|
| Parallelizing user-defined functions in the ETL workflow using orchestration style sheets | Jul 14, 2025 |
González-Vélez, Horacio Kontagora, Maryam Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.