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
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
Visual workflow designer
Easy to develop & maintain
SparkRM
RapidMiner Studio data process run in-parallel inside Hadoop environment
Fluid technology orchestration
Train with large datasets in Hadoop and Spark
Security
Enables centralized analytic workflow management
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.
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.
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.
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
