Hostname: page-component-7479d7b7d-t6hkb Total loading time: 0 Render date: 2024-07-13T22:36:00.459Z Has data issue: false hasContentIssue false
  • English
  • Français

Special Issue on Programming Languages for Big Data Editorial

Part of: Big Data Special Collection

Published online by Cambridge University Press:  12 March 2018

James Cheney  and
Torsten Grust
James Cheney
Affiliation:
Laboratory for Foundations of Computer Science, University of Edinburghjcheney@inf.ed.ac.uk
Torsten Grust
Affiliation:
Department of Computer Science, University of Tübingentorsten.grust@uni-tuebingen.de
Rights & Permissions [Opens in a new window]

Extract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Ideas from programming languages play an important role in a range of advanced applications of databases, in database system implementation, distributed programming (MapReduce), streaming computation, and high-performance (GPU/multicore) computation. This creative research area is broadening into a subfield of data-centric computation. Although the interaction of databases and programming has a long history (the 16th biennial Database Programming Languages symposium was held in 2017), there has been a recent renewal of interest and broadening of programming language techniques for dealing with data from several quarters in the last few years, including workshops at Microsoft Research (RADICAL 2010), ICFP (XLDI 2012), POPL (DDFP 2013, DCM 2014) and a Dagstuhl Seminar on Programming Languages for Big Data (December 2014). This special issue recognises and encourages the publication of mature research contributions in this area.

Type
Editorial
Information
Journal of Functional Programming , Volume 28 , 2018 , e8
Copyright
Copyright © Cambridge University Press 2018 
Submit a response

Discussions

No Discussions have been published for this article.