RapidMiner Radoop executes RapidMiner Studio processes directly inside Hadoop, unlocking the value of your data for a wide range of machine learning applications.

Leverage the Value of Hadoop

Visual process facilitates analysis upon the full breadth and variety of stored Big Data

 

  • SparkRM enables any operator or process in RapidMiner Studio to run in-parallel inside Hadoop environment using Apache Spark as the execution framework
  • Seamlessly combines, transforms and trains models on structured and unstructured data
  • Easily leverages SparkR, PySpark, Pig and HiveQ scripts

Built-in intelligence translates workflows into Hadoop

 

  • Compiles & executes in Hive, Spark MLLib, H2O
  • Pushes analytic instructions into Hadoop for computation

Complies with Hadoop security standards

 

  • Supports Hadoop authentication and data access authorization
  • Incorporates encryption for data security

We Speak Hadoop So You Don’t Have To!

Simplified Anayltics

Reduces Hadoop Complexity

Accelerated Time-to-Value

Covers Complete Analytics Lifecycle

Broad Data Access

Eliminate Connectivity Struggles

Integrated Security

Ensure Security Compliance

Optimized for Hadoop

Leverages Hadoops Distributed Power

Scalable Processing

Process In-Hadoop and In-Memory

RapidMiner Radoop Overview