3 papers
cs.DB2025
Eudoxia: a FaaS scheduling simulator for the composable lakehouse
Tapan Srivastava, Jacopo Tagliabue, Ciro Greco
Due to the variety of its target use cases and the large API surface area to cover, a data lakehouse (DLH) is a natural candidate for a composable data system. Bauplan is a composa…
cs.DB2024
Programmable Dataflows: Abstraction and Programming Model for Data Sharing
Siyuan Xia, Chris Zhu, Tapan Srivastava +2
Data sharing is central to a wide variety of applications such as fraud detection, ad matching, and research. The lack of data sharing abstractions makes the solution to each data…
cs.DB2024
Saving Money for Analytical Workloads in the Cloud
Tapan Srivastava, Raul Castro Fernandez
As users migrate their analytical workloads to cloud databases, it is becoming just as important to reduce monetary costs as it is to optimize query runtime. In the cloud, a query…