SciDB DBMS research at M.I.T.

Michael Stonebraker; Jennie M Duggan; Leilani Battle; Olga Papaemmanouil

SciDB DBMS research at M.I.T.

Michael Stonebraker, Jennie M Duggan, Leilani Battle, Olga Papaemmanouil

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents a snapshot of some of our scientific DBMS research at M.I.T. as part of the Intel Science and Technology Center on Big Data. We focus our efforts primarily on SciDB, although some of our work can be used for any backend DBMS. We summarize our work on making SciDB elastic, providing skew-aware join strategies, and producing scalable visualizations of scientific data.

Original language	English (US)
Title of host publication	Data Engineering Bulletin
Publisher	IEEE
Pages	21-30
Number of pages	10
Volume	36
Edition	4
State	Published - 2013

Cite this

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title = "SciDB DBMS research at M.I.T.",

abstract = "This paper presents a snapshot of some of our scientific DBMS research at M.I.T. as part of the Intel Science and Technology Center on Big Data. We focus our efforts primarily on SciDB, although some of our work can be used for any backend DBMS. We summarize our work on making SciDB elastic, providing skew-aware join strategies, and producing scalable visualizations of scientific data.",

author = "Michael Stonebraker and Duggan, {Jennie M} and Leilani Battle and Olga Papaemmanouil",

note = "https://dblp.org/db/journals/debu/debu36; http://sites.computer.org/debull/A13dec/p21.pdf",

year = "2013",

language = "English (US)",

volume = "36",

pages = "21--30",

booktitle = "Data Engineering Bulletin",

publisher = "IEEE",

edition = "4",

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T1 - SciDB DBMS research at M.I.T.

AU - Stonebraker, Michael

AU - Duggan, Jennie M

AU - Battle, Leilani

AU - Papaemmanouil, Olga

N1 - https://dblp.org/db/journals/debu/debu36; http://sites.computer.org/debull/A13dec/p21.pdf

PY - 2013

Y1 - 2013

N2 - This paper presents a snapshot of some of our scientific DBMS research at M.I.T. as part of the Intel Science and Technology Center on Big Data. We focus our efforts primarily on SciDB, although some of our work can be used for any backend DBMS. We summarize our work on making SciDB elastic, providing skew-aware join strategies, and producing scalable visualizations of scientific data.

AB - This paper presents a snapshot of some of our scientific DBMS research at M.I.T. as part of the Intel Science and Technology Center on Big Data. We focus our efforts primarily on SciDB, although some of our work can be used for any backend DBMS. We summarize our work on making SciDB elastic, providing skew-aware join strategies, and producing scalable visualizations of scientific data.

M3 - Conference contribution

VL - 36

SP - 21

EP - 30

BT - Data Engineering Bulletin

PB - IEEE

ER -

SciDB DBMS research at M.I.T.

Abstract

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