BigDAWG version 0.1

Vijay Gadepally, Kyle O'Brien, Adam Dziedzic, Aaron Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Jennie M Rogers, Zuohao She, Michael Stonebraker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Title of host publication2017 IEEE High Performance Extreme Computing Conference, HPEC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538634721
DOIs
StatePublished - Oct 30 2017
Event2017 IEEE High Performance Extreme Computing Conference, HPEC 2017 - Waltham, United States
Duration: Sep 12 2017Sep 14 2017

Publication series

Name2017 IEEE High Performance Extreme Computing Conference, HPEC 2017

Other

Other2017 IEEE High Performance Extreme Computing Conference, HPEC 2017
CountryUnited States
CityWaltham
Period9/12/179/14/17

Fingerprint

Engines
Application programming interfaces (API)
Computer programming languages
Big data

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Gadepally, V., O'Brien, K., Dziedzic, A., Elmore, A., Kepner, J., Madden, S., ... Stonebraker, M. (2017). BigDAWG version 0.1. In 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017 [8091077] (2017 IEEE High Performance Extreme Computing Conference, HPEC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HPEC.2017.8091077
Gadepally, Vijay ; O'Brien, Kyle ; Dziedzic, Adam ; Elmore, Aaron ; Kepner, Jeremy ; Madden, Samuel ; Mattson, Tim ; Rogers, Jennie M ; She, Zuohao ; Stonebraker, Michael. / BigDAWG version 0.1. 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. (2017 IEEE High Performance Extreme Computing Conference, HPEC 2017).
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Gadepally, V, O'Brien, K, Dziedzic, A, Elmore, A, Kepner, J, Madden, S, Mattson, T, Rogers, JM, She, Z & Stonebraker, M 2017, BigDAWG version 0.1. in 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017., 8091077, 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017, Waltham, United States, 9/12/17. https://doi.org/10.1109/HPEC.2017.8091077

BigDAWG version 0.1. / Gadepally, Vijay; O'Brien, Kyle; Dziedzic, Adam; Elmore, Aaron; Kepner, Jeremy; Madden, Samuel; Mattson, Tim; Rogers, Jennie M; She, Zuohao; Stonebraker, Michael.

2017 IEEE High Performance Extreme Computing Conference, HPEC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8091077 (2017 IEEE High Performance Extreme Computing Conference, HPEC 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Gadepally V, O'Brien K, Dziedzic A, Elmore A, Kepner J, Madden S et al. BigDAWG version 0.1. In 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 8091077. (2017 IEEE High Performance Extreme Computing Conference, HPEC 2017). https://doi.org/10.1109/HPEC.2017.8091077