The BigDawg Architecture and Reference Implementation

Jennie M Duggan; Aaron J. Elmore; Tim Kraska; Sam Madden; Tim Mattson; Michael Stonebraker

The BigDawg Architecture and Reference Implementation

Jennie M Duggan, Aaron J. Elmore, Tim Kraska, Sam Madden, Tim Mattson, Michael Stonebraker

Electrical and Computer Engineering

Research output: Contribution to conference › Paper

Abstract

This paper presents the reference implementation of a new architecture for future “Big Data” applications. Such applications require “big analytics” as one might expect, but they also require real-time streaming support, real-time analytics, data visualization, and cross-storage queries. We are guided by the principle “one size does not fit all”, and we build on top of three storage engines, each designed for specialized use cases. In addition, we demonstrate novel support for querying across multiple storage engines as well as pioneering solutions to data visualization. In the remainder of this short paper, we describe the first of three BigDawg reference implementations, Bulldog. In the next two years we expect to follow with Pitbull and Rottweiler releases.

Original language	English (US)
Number of pages	2
State	Published - 2015
Event	Eighth Annual New England Database Day - Massachusetts Institute of Technology, Cambridge, MA, United States Duration: Jan 30 2015 → Jan 30 2015 http://db.csail.mit.edu/nedbday15/

Conference

Conference	Eighth Annual New England Database Day
Abbreviated title	NEDB Day
Country	United States
City	Cambridge, MA
Period	1/30/15 → 1/30/15
Internet address	http://db.csail.mit.edu/nedbday15/

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@conference{0770e5f63a274385b09d15f1638f0cd4,

title = "The BigDawg Architecture and Reference Implementation",

abstract = "This paper presents the reference implementation of a new architecture for future “Big Data” applications. Such applications require “big analytics” as one might expect, but they also require real-time streaming support, real-time analytics, data visualization, and cross-storage queries. We are guided by the principle “one size does not fit all”, and we build on top of three storage engines, each designed for specialized use cases. In addition, we demonstrate novel support for querying across multiple storage engines as well as pioneering solutions to data visualization. In the remainder of this short paper, we describe the first of three BigDawg reference implementations, Bulldog. In the next two years we expect to follow with Pitbull and Rottweiler releases.",

author = "Duggan, {Jennie M} and Elmore, {Aaron J.} and Tim Kraska and Sam Madden and Tim Mattson and Michael Stonebraker",

year = "2015",

language = "English (US)",

note = "Eighth Annual New England Database Day, NEDB Day ; Conference date: 30-01-2015 Through 30-01-2015",

url = "http://db.csail.mit.edu/nedbday15/",

}

TY - CONF

T1 - The BigDawg Architecture and Reference Implementation

AU - Duggan, Jennie M

AU - Elmore, Aaron J.

AU - Kraska, Tim

AU - Madden, Sam

AU - Mattson, Tim

AU - Stonebraker, Michael

PY - 2015

Y1 - 2015

N2 - This paper presents the reference implementation of a new architecture for future “Big Data” applications. Such applications require “big analytics” as one might expect, but they also require real-time streaming support, real-time analytics, data visualization, and cross-storage queries. We are guided by the principle “one size does not fit all”, and we build on top of three storage engines, each designed for specialized use cases. In addition, we demonstrate novel support for querying across multiple storage engines as well as pioneering solutions to data visualization. In the remainder of this short paper, we describe the first of three BigDawg reference implementations, Bulldog. In the next two years we expect to follow with Pitbull and Rottweiler releases.

AB - This paper presents the reference implementation of a new architecture for future “Big Data” applications. Such applications require “big analytics” as one might expect, but they also require real-time streaming support, real-time analytics, data visualization, and cross-storage queries. We are guided by the principle “one size does not fit all”, and we build on top of three storage engines, each designed for specialized use cases. In addition, we demonstrate novel support for querying across multiple storage engines as well as pioneering solutions to data visualization. In the remainder of this short paper, we describe the first of three BigDawg reference implementations, Bulldog. In the next two years we expect to follow with Pitbull and Rottweiler releases.

M3 - Paper

T2 - Eighth Annual New England Database Day

Y2 - 30 January 2015 through 30 January 2015

ER -