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He investigates issues related to systems and algorithms for data that is high rate, massive, or complex. The goal of his research is to help people access different types of data through building interfaces that let them interact with or query that data.
As a prototypical example, a relational database system runs SQL queries over tables of data to look up a fact. In business, this type of query might be the earnings over the last quarter or the number of employees in a company. Prof. Madden and his research group take this kind of simple abstraction provided by these database systems and apply it to much more complicated types of data.
As a prototypical example, a relational database system runs SQL queries over tables of data to look up a fact. In business, this type of query might be the earnings over the last quarter or the number of employees in a company. Prof. Madden and his research group take this kind of simple abstraction provided by these database systems and apply it to much more complicated types of data.
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arXiv (Cornell University) (2023)
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CoRR (2023)
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Zihui Gu,Ju Fan,Nan Tang, Songyue Zhang, Yuxin Zhang,Zui Chen,Lei Cao,Guoliang Li,Sam Madden,Xiaoyong Du
CoRR (2023)
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