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What and Who

Data Management Infrastructures for Non-Relational Formats

Philippe Cudré-Mauroux
Massachusetts Institute of Technology , Cambridge
Talk
AG 1, AG 3, AG 4, AG 5, SWS, RG1, MMCI  
Public Audience
English

Date, Time and Location

Tuesday, 10 March 2009
12:00
45 Minutes
E1 4
024
Saarbrücken

Abstract

We are today witnessing an explosion of unconventional structured data formats beyond the classical relational model. Time series, meshes, or array data are being adopted by an increasing fraction of computer users, all facing seemingly unsolvable issues related to the storage, the processing, and the sharing of their data.


In this talk, I will make the case for an adaptive and declarative data management infrastructure supporting such formats. I will first describe TrajStore, a storage system for very large trajectory datasets. I will outline the general back-end architecture of TrajStore, and how the system adaptively co-locates trajectory subsegments to facilitate query resolution. I will then describe SciDB, a distributed data management system for data-intensive scientific applications.

Finally, I will outline a generic architecture to handle non-relational datasets in a declarative fashion.

Contact

Conny Liegl
302-70150
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Conny Liegl, 03/09/2009 13:43
Conny Liegl, 03/09/2009 13:43 -- Created document.