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A Demonstration of the BigDAWG Polystore System

Aaron Elmore, Jennie Duggan, Michael Stonebraker, Magdalena Balazinska, Ugur Cetintemel, Vijay Gadepally, Jeffrey Heer, Bill Howe, Jeremy Kepner, Tim Kraska, Samuel Madden, David Maier, Timothy Mattson, Stavros Papadopoulos, Jeff Parkhurst, Nesime Tatbul, Manasi Vartak, Stan Zdonik. Proc. Very Large Database Endowment (PVLDB), 2015
Figure for A Demonstration of the BigDAWG Polystore System
The BigDAWG polystore architecture.
Materials
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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.
BibTeX
@article{2015-bigdawg-demo,
  title = {A Demonstration of the BigDAWG Polystore System},
  author = {Elmore, Aaron AND Duggan, Jennie AND Stonebraker, Michael AND Balazinska, Magdalena AND Cetintemel, Ugur AND Gadepally, Vijay AND Heer, Jeffrey AND Howe, Bill AND Kepner, Jeremy AND Kraska, Tim AND Madden, Samuel AND Maier, David AND Mattson, Timothy AND Papadopoulos, Stavros AND Parkhurst, Jeff AND Tatbul, Nesime AND Vartak, Manasi AND Zdonik, Stan},
  journal = {Proc. Very Large Database Endowment (PVLDB)},
  year = {2015},
  volume = {8},
  number = {12},
  url = {https://idl.uw.edu/papers/bigdawg-demo},
  doi = {10.14778/2824032.2824098}
}