BigDAWG is a polystore system designed to work on complex problems that naturally span across different processing or storage engines. BigDAWG provides an architecture that supports diverse database systems working with different data models, support for the competing notions of location transparency and semantic completeness via islands of information and a middleware that provides a uniform multi-island interface. In this article, we describe the current architecture of BigDAWG, its application on the MIMIC II medical dataset, and our plans for the mechanics of cross-system queries. During the presentation, we will also deliver a brief demonstration of the current version of BigDAWG.
Cite
@article{arxiv.1602.08791,
title = {The BigDAWG Architecture},
author = {Vijay Gadepally and Jennie Duggan and Aaron Elmore and Jeremy Kepner and Samuel Madden and Tim Mattson and Michael Stonebraker},
journal= {arXiv preprint arXiv:1602.08791},
year = {2016}
}