building trino data pipelines with sql or python
Автор: Lester Martin
Загружено: 2025-07-14
Просмотров: 171
#Trino and #Starburst are well known for their performance and scalability when running analytical queries, but they are equally valid platforms for executing #dataengineering transformation pipelines. This talk will explain how fault-tolerant execution mode adds robustness and reliability for long-running jobs that are prevalent in transformation pipelines. These pipelines can obviously be created with #SQL code, but there are #Python options as well. The #PyStarburst and #Ibis frameworks will show how a #dataengineer can use familiar #Dataframe APls to implement their transformation logic. Finally, these options will be reviewed for their applicability to Trino and Starburst clusters.
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