4 citations · 8 across the 3 of their papers we have counts for
3 papers · 1 filter
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…