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RapidMiner Radoop

  • Visual workflow designer for Hadoop & Spark

  • Extend in-memory functionality, execute workflows inside Hadoop

  • Uses Hadoop security standards Apache Sentry & Ranger

  • 60+ Hadoop & Spark operators covering a wide range of use cases

  • Supports Cloudera, Hortonworks, MapR, & Microsoft Azure HDInsight


Code Free Data Science For Hadoop And Spark

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Visual workflow designer

Easy to develop & maintain

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SparkRM

RapidMiner Studio data process  run in-parallel inside Hadoop environment

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Fluid technology orchestration

Train with large datasets in Hadoop and Spark

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 Security

Enables centralized analytic workflow management

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Purely visual workflow designer for Hadoop & Spark

    The visual workflow designer allows for code-free data prep & machine learning. Analytic tasks are created with visually represented data process flows that are easy to develop & maintain, while all computations are pushed to and execute in your Hadoop environment.

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Broaden possibilities with SparkRM

    SparkRM enables all operations and data process flows in RapidMiner Studio to run in-parallel inside Hadoop environment using Apache Spark as the execution framework, broadening use cases and enabling richer algorithms than MLlib.

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Fluid technology orchestration

    Radoop pushes computations to your existing Hadoop or Spark infrastructure. Leverage Spark or Hive transparently, and focus on real data science. With Radoop’s flexible processing, you can train with large datasets in Hadoop and create very lightweight scoring processes in memory.

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State of the art security

    Enables centralized analytic workflow management without compromising IT regulations. Support for Kerberos, Hadoop impersonation, sentry/ranger, etc.

RapidMiner Radoop Overview

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Click on the picture to watch introduction of RapidMiner Raddoop

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