The BigDAWG Architecture

TL;DR

BigDAWG is a polystore system architecture that enables seamless integration and querying across diverse database systems with different data models, demonstrated on medical data.

Contribution

This paper introduces the BigDAWG architecture, supporting multi-engine data management with a uniform interface and application to complex medical datasets.

Findings

Successful implementation of BigDAWG architecture

Application to MIMIC II medical dataset

Future plans for cross-system query mechanics

Abstract

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.