ECL (data-centric programming language): Difference between revisions

Revision as of 09:48, 7 March 2011

Revision as of 09:52, 7 March 2011

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{{New unreviewed article|source=ArticleWizard|date=March 2011}}

{{Infobox programming language

| name = ECL

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| latest release date =

| influenced_by = [[Prolog]], [[Pascal]], [[SQL]], [[Snobol-4]], [[C++]], [[Clarion]]

| influenced = [[Big Dara]]

| operating_system =

| license =

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'''ECL''' is a declarative, data centric programming language designed in 2000 to allow a team of programmers to process Big Data across a high performance computing cluster without the programmer being involved in many of the lower level, imperative decisions.<ref>[http://www.lexisnexis.com/risk/about/guides/program-guide.html A Guide to ECL, [[Lexis-Nexis]].]</ref>

== History ==

ECL was initially designed and developed in 2000 as an in-house productivity tool within Seisint Inc and was considered to be ‘secret weapon’ that allowed [[Seisint]] to gain market share in its data business. The technology was cited as a driving force behind the acquisition of Seisint by [[LexisNexis]] and then again as a major source of synergies when LexisNexis acquired ChoicePoint Inc.

== Implementations ==

LexisNexis, and its partners, were chosen for a [[DARPA]] project to create a prototype of a new kind of data-centric supercomputer. DARPA is the research and development office for the [[U.S. Department of Defense (DoD)]]. DARPA’s mission is to maintain technological superiority of the U.S. military and prevent technological surprise from harming our [[national security]].<ref>[http://www.darpa.mil/about.html [[DARPA]].]</ref>

DARPA has created a Ubiquitous High Performance Computing (UHPC) program to provide the revolutionary technology needed to meet the steadily increasing demands of DoD applications – from embedded to command center and expandable to high performance computing systems.<ref>[http://www.er.doe.gov/ascr/Research/CS/UHPC%20DARPA-SN-09-46_RFI.pdfl [[DARPA High Performance Computing]].]</ref>

Earlier, [[Sandia National Labs]] and LexisNexis were chosen by DARPA as one of four teams to design a new kind of data-centric supercomputer prototype.<ref>[https://share.sandia.gov/news/resources/news_releases/supercomputer-prototype/ttp://insidehpc.com/2010/08/19/uhpc-the-sandia-team/ Sandia teamNational andLabs and [[High Performance Computing]].]</ref>

== Language Constructs ==

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=== Comparison to Map-Reduce ===

The Hadoop Map-Reduce paradigm actually consists of three phases which correlate to ECL primitives as follows:

{{clear}}

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== External links ==

* [http://www.nytimes.com/2008/02/21/technology/21iht-reed.4.10279549.html Reed Elsevier to acquire ChoicePoint for $3.6 billion]

* [http://www.bloomberg.com/apps/news?pid=newsarchive&sid=aBuqYZDOSPL4&refer=uk Reed Elsevier's LexisNexis Buys Seisint for $775 Mln]

Reed Elsevier's LexisNexis Buys Seisint for $775 Mln]

* [http://www.reuters.com/finance/stocks/keyDevelopments?symbol=ENL&pn=15 Reed Elsevier]