SciDB DBMS Research at M.I.T.

Olga Papaemmanouil; Mike Stonebreaker; Jennie Duggan; Leilani Battle

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Journal article

SciDB DBMS Research at M.I.T.

Olga Papaemmanouil, Mike Stonebreaker, Jennie Duggan and Leilani Battle

International Conference on Data Engineering Bulletin, p.21

2013

Abstract

Applied Sciences

Data Analysis

Elasticity

Engineering

Science Planning or Policy

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.

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Title: SciDB DBMS Research at M.I.T.
Creators: Olga Papaemmanouil - Brandeis University, Michtom School of Computer Science
Mike Stonebreaker (Corresponding Author)
Jennie Duggan (Corresponding Author)
Leilani Battle (Corresponding Author)
Publication Details: International Conference on Data Engineering Bulletin, p.21
Identifiers: 9924148841701921
Academic Unit: Benjamin and Mae Volen National Center for Complex Systems; Michtom School of Computer Science; School of Arts and Sciences
Language: English
Resource Type: Journal article

SciDB DBMS Research at M.I.T.

Abstract

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