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cs.DB2024
FaaS and Furious: abstractions and differential caching for efficient data pre-processing
Jacopo Tagliabue, Ryan Curtin, Ciro Greco
Data pre-processing pipelines are the bread and butter of any successful AI project. We introduce a novel programming model for pipelines in a data lakehouse, allowing users to int…
cs.DB2024
Bauplan: zero-copy, scale-up FaaS for data pipelines
Jacopo Tagliabue, Tyler Caraza-Harter, Ciro Greco
Chaining functions for longer workloads is a key use case for FaaS platforms in data applications. However, modern data pipelines differ significantly from typical serverless use c…
cs.DB2024
Reproducible data science over data lakes: replayable data pipelines with Bauplan and Nessie
Jacopo Tagliabue, Ciro Greco
As the Lakehouse architecture becomes more widespread, ensuring the reproducibility of data workloads over data lakes emerges as a crucial concern for data engineers. However, achi…