961 citations · 1.6k across the 32 of their papers we have counts for
5 papers · 2 filters
Shark: SQL and Rich Analytics at Scale
Reynold Xin, Josh Rosen, Matei Zaharia +3
Shark is a new data analysis system that marries query processing with complex analytics on large clusters. It leverages a novel distributed memory abstraction to provide a unified…
CrowdER: Crowdsourcing Entity Resolution
Jiannan Wang, Tim Kraska, Michael J. Franklin +1
Entity resolution is central to data integration and data cleaning. Algorithmic approaches have been improving in quality, but remain far from perfect. Crowdsourcing platforms offe…
Probabilistically Bounded Staleness for Practical Partial Quorums
Peter Bailis, Shivaram Venkataraman, Michael J. Franklin +2
Data store replication results in a fundamental trade-off between operation latency and data consistency. In this paper, we examine this trade-off in the context of quorum-replicat…
MDCC: Multi-Data Center Consistency
Tim Kraska, Gene Pang, Michael J. Franklin +1
Replicating data across multiple data centers not only allows moving the data closer to the user and, thus, reduces latency for applications, but also increases the availability in…
Getting It All from the Crowd
Beth Trushkowsky, Tim Kraska, Michael J. Franklin +1
Hybrid human/computer systems promise to greatly expand the usefulness of query processing by incorporating the crowd for data gathering and other tasks. Such systems raise many da…