Agrios: A hybrid approach to big array analytics

Agrios: A hybrid approach to big array analytics

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 syst...

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Hauptverfasser: Leyshock, Patrick, Maier, David, Tufte, Kristin
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Arrays
big-array analytics
Data handling
Data models
Data storage systems
Information management
query optimization
SciDB
Shape
Vectors
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/BigData.2013.6691558