[TYPES] type theory and Big Data

[Barry Jay]

Another typed approach to big data is to use the generic queries of 
pattern calculus

http://www.springer.com/computer/theoretical+computer+science/book/978-3-540-89184-0 


and bondi http://bondi.it.uts.edu.au/

Generic queries can be applied to data structures of arbitrary type, 
without adding any apparatus for collections or monads, etc.  In 
principle, this allows a single, strongly-typed query to be executed 
across a wide variety of data bases, with varying schema.

Yours,
Barry




On 29/10/13 08:58, Ryan Wisnesky wrote:
> [ The Types Forum, http://lists.seas.upenn.edu/mailman/listinfo/types-list ]
>
> Hi,
>
> Collection types, typically monadic, were instrumental in the development of 'functional query languages'.  This line of work started in the early 90s and a classical paper is Tannen, Buneman, and Wong's "Naturally Embedded Query Languages":
>
> http://repository.upenn.edu/cgi/viewcontent.cgi?article=1536&context=cis_reports
>
> Such languages continue to be proposed as interfaces for big-data systems like MapReduce:
>
> http://cacm.acm.org/magazines/2011/4/106584-a-co-relational-model-of-data-for-large-shared-data-banks/fulltext
>
> The implications of other type-theoretic constructions to information management are topics of current research.
>
> Regards,
> Ryan
>
>
> On Oct 28, 2013, at 7:09 AM, Dr. Rod Moten <rm27 at cornell.edu> wrote:
>
>> [ The Types Forum, http://lists.seas.upenn.edu/mailman/listinfo/types-list ]
>>
>> Do you think type theory has a role to play in providing the mathematics needed for Big Data?
>> https://www.simonsfoundation.org/quanta/20131004-the-mathematical-shape-of-things-to-come/

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