BigDAWG version 0.1

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

doi:10.1109/HPEC.2017.8091077

BigDAWG version 0.1

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

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

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 language	English (US)
Title of host publication	2017 IEEE High Performance Extreme Computing Conference, HPEC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538634721
DOIs	https://doi.org/10.1109/HPEC.2017.8091077
State	Published - Oct 30 2017
Event	2017 IEEE High Performance Extreme Computing Conference, HPEC 2017 - Waltham, United States Duration: Sep 12 2017 → Sep 14 2017

Publication series

Name	2017 IEEE High Performance Extreme Computing Conference, HPEC 2017

Other

Other	2017 IEEE High Performance Extreme Computing Conference, HPEC 2017
Country/Territory	United States
City	Waltham
Period	9/12/17 → 9/14/17

ASJC Scopus subject areas

Computational Theory and Mathematics
Hardware and Architecture
Computer Networks and Communications

Access to Document

10.1109/HPEC.2017.8091077

Cite this

Gadepally, V., O'Brien, K., Dziedzic, A., Elmore, A., Kepner, J., Madden, S., Mattson, T., Rogers, J., She, Z., & Stonebraker, M. (2017). BigDAWG version 0.1. In 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017 Article 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

@inproceedings{f173d311f33741759dc4f7e297fbb369,

title = "BigDAWG version 0.1",

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.",

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

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017 ; Conference date: 12-09-2017 Through 14-09-2017",

year = "2017",

month = oct,

day = "30",

doi = "10.1109/HPEC.2017.8091077",

language = "English (US)",

series = "2017 IEEE High Performance Extreme Computing Conference, HPEC 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2017 IEEE High Performance Extreme Computing Conference, HPEC 2017",

address = "United States",

}

Gadepally, V, O'Brien, K, Dziedzic, A, Elmore, A, Kepner, J, Madden, S, Mattson, T, Rogers, J, 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 et al.
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 proceeding › Conference contribution

TY - GEN

T1 - BigDAWG version 0.1

AU - Gadepally, Vijay

AU - O'Brien, Kyle

AU - Dziedzic, Adam

AU - Elmore, Aaron

AU - Kepner, Jeremy

AU - Madden, Samuel

AU - Mattson, Tim

AU - Rogers, Jennie

AU - She, Zuohao

AU - Stonebraker, Michael

PY - 2017/10/30

Y1 - 2017/10/30

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85041229620&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85041229620&partnerID=8YFLogxK

U2 - 10.1109/HPEC.2017.8091077

DO - 10.1109/HPEC.2017.8091077

M3 - Conference contribution

AN - SCOPUS:85041229620

T3 - 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017

BT - 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017

Y2 - 12 September 2017 through 14 September 2017

ER -

BigDAWG version 0.1

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this