Published In

Proceedings of the VLDB Endowment

Document Type

Article

Publication Date

2015

Subjects

Databases And Analytics, Big Data Architecture

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.

Description

This article is available because of the Creative Commons Attribution License:
http://creativecommons.org/licenses/by-nc-nd/3.0/

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