A demonstration of the BigDAWG polystore system
Name
2015-BigDAWGDemo-PVLDB.pdf
Description
Accepted version
Size
170.38 KB
Format
Adobe PDF
Checksum (MD5)
0bac8f9c371f6da9be6403aee079b04e
Author(s)
Stonebraker, Michael
Gadepally, Vijay N.
Kepner, Jeremy
Madden, Samuel R.
Vartak, Manasi
Date Issued
August 2015
Journal
Proceedings of the VLDB Endowment
Publisher
VLDB Endowment
Citation
Elmore, A., et al., "A demonstration of the BigDAWG polystore system." Proceedings of the VLDB Endowment 8, 12 (August 2015): p. 1908-1911 doi 10.14778/2824032.2824098 ©2015 Author(s)
Version
Author's final manuscript
Abstract
This paper presents BigDAWG, a reference implementation of a new architecture for "Big Data" applications. Such applications not only call for large-scale analytics, but also for real-time streaming support, smaller analytics at interactive speeds, data visualization, and cross-storage-system queries. Guided by the principle that "one size does not fit all", we build on top of a variety of storage engines, each designed for a specialized use case. To illustrate the promise of this approach, we demonstrate its effectiveness on a hospital application using data from an intensive care unit (ICU). This complex application serves the needs of doctors and researchers and provides real-time support for streams of patient data. It showcases novel approaches for querying across multiple storage engines, data visualization, and scalable real-time analytics. ©2015
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Lincoln Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.14778/2824032.2824098
