4 citations · 9 across the 4 of their papers we have counts for
5 papers
Towards an AI Software Factory for Data Systems
Anna Pavlenko, Bogdan Crivat, Brandon Haynes +23
AI-assisted coding tools deliver significant acceleration of coding, but only limited impact across the end-to-end software development lifecycle (SDLC)--an Amdahl's law effect! In…
AutoComp: Automated Data Compaction for Log-Structured Tables in Data Lakes
Anja Gruenheid, Jesús Camacho-Rodríguez, Carlo Curino +7
The proliferation of small files in data lakes poses significant challenges, including degraded query performance, increased storage costs, and scalability bottlenecks in distribut…
Extending Polaris to Support Transactions
Josep Aguilar-Saborit, Raghu Ramakrishnan, Kevin Bocksrocker +15
In Polaris, we introduced a cloud-native distributed query processor to perform analytics at scale. In this paper, we extend the underlying Polaris distributed computation framewor…
XTable in Action: Seamless Interoperability in Data Lakes
Ashvin Agrawal, Tim Brown, Anoop Johnson +4
Contemporary approaches to data management are increasingly relying on unified analytics and AI platforms to foster collaboration, interoperability, seamless access to reliable dat…
MotherNet: Fast Training and Inference via Hyper-Network Transformers
Andreas Müller, Carlo Curino, Raghu Ramakrishnan
Foundation models are transforming machine learning across many modalities, with in-context learning replacing classical model training. Recent work on tabular data hints at a simi…