Cascading - The Diigo Meta page

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• 16 Sep 13
  

  rhm2ktmi
  • Cascading is an application framework for Java developers to simply develop robust Data Analytics and Data Management applications on Apache Hadoop
  • Cascading is an application framework for Java developers to simply develop robust Data Analytics and Data Management applications on Apache Hadoop
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  • Cascading is an application framework for Java developers to simply develop robust Data Analytics and Data Management applications on Apache Hadoop.
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• 09 Nov 12
  

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• 27 Sep 12
  

  Rhea Myers

  "Cascading is an application framework for Java developers to quickly and easily develop robust Data Analytics and Data Management applications on Apache Hadoop."

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• 29 Feb 12
  

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• 03 Jan 12
  

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• 30 Nov 11
  

  Claudio Bergamini

  Cascading is a Data Processing API, Process Planner, and Process Scheduler used for defining and executing complex, scale-free, and fault tolerant data processing workflows on an Apache Hadoop cluster. All without having to 'think' in MapReduce.

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• 18 Oct 11
  

  Henri-Damien LAURENT

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• 13 Oct 11
  

  Niko Schmuck

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• 06 Oct 11
  

  Daniël Crompton

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• 21 Sep 11
  

  Sergey Leschenko

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• 31 Aug 11
  

  alimanfoo

  • Cascading is a Data Processing API, Process Planner, and Process Scheduler used for defining and executing complex, scale-free, and fault tolerant data processing workflows on an Apache Hadoop cluster. All without having to 'think' in MapReduce.
  • Cascading does support the development of such languages and DSLs like Multitool, Cascalog, and Cascading.JRuby. Multitool allows you to either "grep", "sed", or join large datasets on a Hadoop FileSystem or Amazon S3 from the command line.
• 02 Aug 11
  

  hyunjun_chung

  programming_hadoop programming_hadoop_cascading

• 28 Jul 11
  

  Carlos Veira Lorenzo

  Cascading is a Data Processing API, Process Planner, and Process Scheduler used for defining and executing complex, scale-free, and fault tolerant data processing workflows on an Apache Hadoop cluster. All without having to 'think' in MapReduce.
  
  Cascading is a thin Java library and API that sits on top of Hadoop's MapReduce layer and is executed from the command line like any other Hadoop application.
  
  As a library and API that can be driven from any JVM based language (Jython, JRuby, Groovy, Clojure, etc.), developers can create applications and frameworks that are "operationalized". That is, a single deployable Jar can be used to encapsulate a series of complex and dynamic processes all driven from the command line or a shell. Instead of using external schedulers to glue many individual applications together with XML against each individual command line interface.
  
  The Cascading API approach dramatically simplifies development, regression and integration testing, and deployment of business critical applications on both Amazon Web Services (like Elastic MapReduce) or on dedicated hardware.
  
  Cascading is not a new text based query syntax (like Pig) or another complex system that must be installed on a cluster and maintained (like Hive). But Cascading is both complimentary and a valid alternative to either application.
  
  Cascading does support the development of such languages and DSLs like Multitool, Cascalog, and Cascading.JRuby. Multitool allows you to either "grep", "sed", or join large datasets on a Hadoop FileSystem or Amazon S3 from the command line.
  
  Cascading is Open Source and licensed under the GPL. Alternatively Standard or OEM Licenses, and Production and Developer Support can be obtained through Concurrent, Inc.
  
  Cascading has a strong community of users and contributors, see our Cascading modules page for related projects and extensions.
  
  Cascading, extensions, and related libraries are also hosted in the Conjars maven repository maintained by Concurrent, Inc. The repository is open to the public.

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• 30 Jun 11
  

  Panagiotis Matigakis

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• 27 Jun 11
  

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• 18 Jun 11
  

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• 13 Jun 11
  

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• 09 Jun 11
  

  Doug Daniels

  Cascading is a data flow API implemented in Java for writing data flows that run on MapReduce.

  hadoop MapReduce cascading

• 02 May 11
  

  Dmitry Serebrennikov

  "Cascading is a Data Processing API, Process Planner, and Process Scheduler used for defining and executing complex, scale-free, and fault tolerant data processing workflows on an Apache Hadoop cluster. All without having to 'think' in MapReduce."

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• 20 Mar 11
  

  pilsna ___

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• 24 Feb 11
  

  devrimbaris

  and API that sits on top of Hadoop's MapReduce layer and is executed from the command line like any other Hadoop application.
  
  As a library and API that can be driven from any JVM based language (Jython, JRuby, Groovy, Clojure, etc.), developers can creat

  mapreduce hadoop java api datamining

• 02 Feb 11
  

  hadoop mapreduce java distributed programming delicious-imp

• 06 Jan 11
  

  knobas last

  • Cascading is a Query API, Query Planner, and Process Scheduler used for defining and executing complex, scale-free, and fault tolerant data processing workflows on a Hadoop cluster.

      

    Cascading is a thin Java library that sits on top of Hadoop's MapReduce layer and is executed from the command line like any other Hadoop application. It is not a new text based query syntax (like Pig) or another complex system that must be installed on a cluster and maintained (like Hive). Though Cascading is both complimentary to and is a valid alternative to either application.

      

    Cascading lets the developer quickly assemble complex distributed data-processing applications without having to "think" in MapReduce. And to efficiently schedule them based on their dependencies. Obviously simple data processing applications are supported as well, as complex applications tend to start simple.
• 29 Dec 10
  

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• 31 Aug 10
  

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• 08 Jul 10
  

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• 25 Jun 10
  

  John Mitchell

  Cascading is a feature rich API for defining and executing complex, scale-free, and fault tolerant data processing workflows on a Hadoop cluster

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• 27 May 10
  

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• 23 Mar 10
  

  aero aero

  Cascading is a feature rich API for defining and executing complex, scale-free, and fault tolerant data processing workflows on a Hadoop cluster.

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• 18 Dec 09
  

  Samuel Vijaykumar

  Cascading is a feature rich API for defining and executing complex, scale-free, and fault tolerant data processing workflows on a Hadoop cluster

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• 16 Dec 09
  

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• 10 Dec 09
  

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• 13 Nov 09
  

  Andrew Gilmartin

  Cascading is a feature rich API for building complex and fault tolerant data processing workflows.
  
  Some of the key features are:
  
  Data Processing API
  Topological Scheduler
  Event Notification
  MapReduce Job Planner
  Stream Assertions
  Failure Traps
  Scriptabl

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• 03 Nov 09
  

  Alex Yakovlev

  Cascading is a feature rich API for defining and executing complex, scale-free, and fault tolerant data processing workflows on a Hadoop cluster.
  
  The processing API lets the developer quickly assemble complex distributed processes without having to "thin

  hadoop mapreduce java distributed programming opensource cluster api cascading

• 01 Nov 09
  

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  efficiently schedule them based on their dependencies and other available meta-data. Obviously simple data processing applications are supported as well, as com

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• 25 Jun 09
  

  rawwell

  "Cascading is a feature rich API for defining and executing complex, scale-free, and fault tolerant data processing workflows on a Hadoop cluster.
  
  The processing API lets the developer quickly assemble complex distributed processes without having to "thi

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  API for defining and executing complex, scale-free, and fault tolerant data processing workflows on a Hadoop cluster.

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