Add to ORKGThis 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.
Scientific discoveries increasingly rely on the ability to efficiently grind massive amounts of expe...
The growth of scientific information and the increasing automation of data collection have made data...
The complexity and sophistication of large scale analytics in science and industry have advanced dra...
Abstract: As a general rule, scientists have shunned relational data management systems (RDBMS),...
In CIDR 2009, we presented a collection of requirements for SciDB, a DBMS that would meet the needs ...
A study has been carried out to determine the feasibility of using commercial database management sy...
The Scholarly Database aims to serve researchers and practitioners interested in the analysis, model...
SciDB [4, 3] is a new open-source data management sys-tem intended primarily for use in application ...
The goal of this talk is to inform participants about the concept idea of scientific big data analyt...
In the database field, while very strong mathematical and engineering work has been done, the scient...
Fueled by novel technologies capable of producing massive amounts of data, scientists have been face...
Scientific discoveries increasingly rely on the ability to efficiently grind massive amounts of expe...
The ability to explore huge digital resources assembled in data warehouses, databases and files, at ...
Abstract—In the era of data-intensive scientific discovery, data analysis is critical for scientists...
The goal of this talk is to inform participants about two concrete and widely used data analytics te...
Scientific discoveries increasingly rely on the ability to efficiently grind massive amounts of expe...
The growth of scientific information and the increasing automation of data collection have made data...
The complexity and sophistication of large scale analytics in science and industry have advanced dra...
Abstract: As a general rule, scientists have shunned relational data management systems (RDBMS),...
In CIDR 2009, we presented a collection of requirements for SciDB, a DBMS that would meet the needs ...
A study has been carried out to determine the feasibility of using commercial database management sy...
The Scholarly Database aims to serve researchers and practitioners interested in the analysis, model...
SciDB [4, 3] is a new open-source data management sys-tem intended primarily for use in application ...
The goal of this talk is to inform participants about the concept idea of scientific big data analyt...
In the database field, while very strong mathematical and engineering work has been done, the scient...
Fueled by novel technologies capable of producing massive amounts of data, scientists have been face...
Scientific discoveries increasingly rely on the ability to efficiently grind massive amounts of expe...
The ability to explore huge digital resources assembled in data warehouses, databases and files, at ...
Abstract—In the era of data-intensive scientific discovery, data analysis is critical for scientists...
The goal of this talk is to inform participants about two concrete and widely used data analytics te...
Scientific discoveries increasingly rely on the ability to efficiently grind massive amounts of expe...
The growth of scientific information and the increasing automation of data collection have made data...
The complexity and sophistication of large scale analytics in science and industry have advanced dra...