Name
Abstract | ||
|---|---|---|
Hybrid data analysis systems integrate an analytic tool and a data management tool. While hybrid systems have benefits, in order to be effective data movement between the two hybrid components must be minimized. Through experimental results we demonstrate that under workloads whose inputs vary in size, shape, and location, automation is the only practical way to manage data movement in hybrid systems. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2618243.2618273 | SSDBM |
Keywords | Field | DocType |
database applications,design,experimentation,query optimization,hybrid analytic systems,big data analytics,r,performance,scidb | Query optimization,Data mining,Computer science,Automation,Hybrid data,Big data,Data management,Hybrid system,Database | Conference |
Citations | PageRank | References |
1 | 0.36 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patrick Leyshock | 1 | 1 | 0.36 |
| David Maier | 2 | 5639 | 1666.90 |
| Kristin Tufte | 3 | 1241 | 146.09 |