Name
Abstract | ||
|---|---|---|
Hybrid systems for analyzing big data integrate an analytic tool and a dedicated data-management platform. The necessary movement of data between the components of a hybrid system can lead to performance problems, if that movement is not managed effectively. We present Agrios, a hybrid analytic system for array-structured data, integrating R and SciDB. Agrios minimizes data movement between the two components of the hybrid, using techniques repurposed from relational database query optimization. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/BigData.2013.6691558 | Silicon Valley, CA |
Keywords | Field | DocType |
data analysis,data structures,optimisation,query processing,relational databases,Agrios,SciDB,analytic tool,array-structured data,big array analytics,big data analysis,dedicated data-management platform,hybrid analytic system,hybrid approach,relational database query optimization,R,SciDB,big-array analytics,query optimization | Query optimization,Data mining,Data structure,Relational database,Computer science,Sargable,Analytics,Big data,Hybrid system,Database | Conference |
ISSN | Citations | PageRank |
2639-1589 | 2 | 0.41 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patrick Leyshock | 1 | 2 | 0.41 |
| David Maier | 2 | 5639 | 1666.90 |
| Kristin Tufte | 3 | 1241 | 146.09 |