4 citations · 9 across the 4 of their papers we have counts for
4 papers
Evaluating Learned Query Performance Prediction Models at LinkedIn: Challenges, Opportunities, and Findings
Chujun Song, Slim Bouguerra, Erik Krogen +1
Recent advancements in learning-based query performance prediction models have demonstrated remarkable efficacy. However, these models are predominantly validated using synthetic d…
The Cambridge Report on Database Research
Anastasia Ailamaki, Samuel Madden, Daniel Abadi +43
On October 19 and 20, 2023, the authors of this report convened in Cambridge, MA, to discuss the state of the database research field, its recent accomplishments and ongoing challe…
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…
C5: Cloned Concurrency Control that Always Keeps Up
Jeffrey Helt, Abhinav Sharma, Daniel J. Abadi +2
Asynchronously replicated primary-backup databases are commonly deployed to improve availability and offload read-only transactions. To both apply replicated writes from the primar…