12 citations · 18 across the 4 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…
Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All?
Rana Alotaibi, Yuanyuan Tian, Stefan Grafberger +13
Customer demand, regulatory pressure, and engineering efficiency are the driving forces behind the industry-wide trend of moving from siloed engines and services that are optimized…
Sibyl: Forecasting Time-Evolving Query Workloads
Hanxian Huang, Tarique Siddiqui, Rana Alotaibi +6
Database systems often rely on historical query traces to perform workload-based performance tuning. However, real production workloads are time-evolving, making historical queries…