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