[TYPES] type theory and Big Data
Barry.Jay at uts.edu.au
Mon Oct 28 22:24:38 EDT 2013
Another typed approach to big data is to use the generic queries of
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.
On 29/10/13 08:58, Ryan Wisnesky wrote:
> [ The Types Forum, http://lists.seas.upenn.edu/mailman/listinfo/types-list ]
> 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":
> Such languages continue to be proposed as interfaces for big-data systems like MapReduce:
> The implications of other type-theoretic constructions to information management are topics of current research.
> 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?
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