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DOI: 10.4230/DagRep.4.12.48
URN: urn:nbn:de:0030-drops-50055
URL: http://drops.dagstuhl.de/opus/volltexte/2015/5005/
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Cheney, James ; Grust, Torsten ; Vytiniotis, Dimitrios
Weitere Beteiligte (Hrsg. etc.): James Cheney and Torsten Grust and Dimitrios Vytiniotis

Programming Languages for Big Data (PlanBig) (Dagstuhl Seminar 14511)

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dagrep_v004_i012_p048_s14511.pdf (1 MB)


Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 14511 "Programming Languages for Big Data (PlanBig)". The seminar was motivated by recent developments in programming languages, databases, machine learning, and cloud computing, and particularly by the opportunities offered by research drawing on more than one of these areas. Participants included researchers working in each of these areas and several who have previously been involved in research in the intersection of databases and programming languages. The seminar included talks, demos and free time for discussion or collaboration. This report collects the abstracts of talks and other activities, a summary of the group discussions at the seminar, and a list of outcomes.

BibTeX - Entry

@Article{cheney_et_al:DR:2015:5005,
  author =	{James Cheney and Torsten Grust and Dimitrios Vytiniotis},
  title =	{{Programming Languages for Big Data (PlanBig) (Dagstuhl Seminar 14511)}},
  pages =	{48--67},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2015},
  volume =	{4},
  number =	{12},
  editor =	{James Cheney and Torsten Grust and Dimitrios Vytiniotis},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2015/5005},
  URN =		{urn:nbn:de:0030-drops-50055},
  doi =		{10.4230/DagRep.4.12.48},
  annote =	{Keywords: Programming languages, databases, data-centric computation, machine learning, cloud computing}
}

Keywords: Programming languages, databases, data-centric computation, machine learning, cloud computing
Seminar: Dagstuhl Reports, Volume 4, Issue 12
Issue Date: 2015
Date of publication: 07.04.2015


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