License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.SNAPL.2015.63
URN: urn:nbn:de:0030-drops-50172
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2015/5017/
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Chin, Brian ; von Dincklage, Daniel ; Ercegovac, Vuk ; Hawkins, Peter ; Miller, Mark S. ; Och, Franz ; Olston, Christopher ; Pereira, Fernando

Yedalog: Exploring Knowledge at Scale

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Abstract

With huge progress on data processing frameworks, human programmers are frequently the bottleneck when analyzing large repositories of data. We introduce Yedalog, a declarative programming language that allows programmers to mix data-parallel pipelines and computation seamlessly in a single language. By contrast, most existing tools for data-parallel computation embed a sublanguage of data-parallel pipelines in a general-purpose language, or vice versa. Yedalog extends Datalog, incorporating not only computational features from logic programming, but also features for working with data structured as nested records. Yedalog programs can run both on a single machine, and distributed across a cluster in batch and interactive modes, allowing programmers to mix different modes of execution easily.

BibTeX - Entry

@InProceedings{chin_et_al:LIPIcs:2015:5017,
  author =	{Brian Chin and Daniel von Dincklage and Vuk Ercegovac and Peter Hawkins and Mark S. Miller and Franz Och and Christopher Olston and Fernando Pereira},
  title =	{{Yedalog: Exploring Knowledge at Scale}},
  booktitle =	{1st Summit on Advances in Programming Languages (SNAPL 2015)},
  pages =	{63--78},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-80-4},
  ISSN =	{1868-8969},
  year =	{2015},
  volume =	{32},
  editor =	{Thomas Ball and Rastislav Bodik and Shriram Krishnamurthi and Benjamin S. Lerner and Greg Morrisett},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2015/5017},
  URN =		{urn:nbn:de:0030-drops-50172},
  doi =		{10.4230/LIPIcs.SNAPL.2015.63},
  annote =	{Keywords: Datalog, MapReduce}
}

Keywords: Datalog, MapReduce
Collection: 1st Summit on Advances in Programming Languages (SNAPL 2015)
Issue Date: 2015
Date of publication: 30.04.2015

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