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pro vyhledávání: '"Duggan, Jennie"'
Autor:
OBrien, Kyle, Gadepally, Vijay, Duggan, Jennie, Dziedzic, Adam, Elmore, Aaron, Kepner, Jeremy, Madden, Samuel, Mattson, Tim, She, Zuohao, Stonebraker, Michael
The Intel Science and Technology Center for Big Data is developing a reference implementation of a Polystore database. The BigDAWG (Big Data Working Group) system supports "many sizes" of database engines, multiple programming languages and complex a
Externí odkaz:
http://arxiv.org/abs/1701.05799
Autor:
Gadepally, Vijay, Chen, Peinan, Duggan, Jennie, Elmore, Aaron, Haynes, Brandon, Kepner, Jeremy, Madden, Samuel, Mattson, Tim, Stonebraker, Michael
Organizations are often faced with the challenge of providing data management solutions for large, heterogenous datasets that may have different underlying data and programming models. For example, a medical dataset may have unstructured text, relati
Externí odkaz:
http://arxiv.org/abs/1609.07548
Autor:
Gadepally, Vijay, Duggan, Jennie, Elmore, Aaron, Kepner, Jeremy, Madden, Samuel, Mattson, Tim, Stonebraker, Michael
BigDAWG is a polystore system designed to work on complex problems that naturally span across different processing or storage engines. BigDAWG provides an architecture that supports diverse database systems working with different data models, support
Externí odkaz:
http://arxiv.org/abs/1602.08791
Publikováno v:
2016 IEEE High Performance Extreme Computing Conference (HPEC); 2016, p1-6, 6p
Akademický článek
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Autor:
Duggan, Jennie, Stonebraker, Michael
Publikováno v:
Proceedings of the 2014 ACM SIGMOD International Conference Management of Data; 6/18/2014, p409-420, 12p
Publikováno v:
2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW); 2013, p258-265, 8p