BigDAWG version 0.1
| Autor: | Samuel Madden, Jeremy Kepner, Kyle O'Brien, Timothy G. Mattson, Vijay Gadepally, Michael Stonebraker, Zuohao She, Jennie Rogers, Aaron J. Elmore, Adam Dziedzic |
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| Rok vydání: | 2017 |
| Předmět: |
Matching (statistics)
Database Computer science business.industry 05 social sciences Big data 020207 software engineering 02 engineering and technology computer.software_genre Software release life cycle Analytics Middleware (distributed applications) 0202 electrical engineering electronic engineering information engineering Operating system 0501 psychology and cognitive sciences Architecture business computer 050107 human factors |
| Zdroj: | HPEC |
| Popis: | A polystore system is a database management system composed of integrated heterogeneous database engines and multiple programming languages. By matching data to the storage engine best suited to its needs, complex analytics run faster and flexible storage choices helps improve data organization. BigDAWG (Big Data Working Group) is our prototype implementation of a polystore system. In this paper, we describe the current BigDAWG software release which supports PostgreSQL, Accumulo and SciDB. We describe the overall architecture, API and initial results of applying BigDAWG to the MIMIC II medical dataset. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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