Whitepaper
Getting a machine learning project off the ground is hard. How do you build a solid project foundation from the very start? Download the whitepaper.
Make ‘Big Data’ Easy
Eliminate the complexity of data science on Hadoop and Spark
Bring Machine Learning With Big Data Down to Earth
Build and run predictive models in Hadoop – without the code
Create predictive models using the RapidMiner Studio visual workflow designer
Expand beyond MLlib to tackle a broader set of use cases including time series and text analytics
Amazon EMR, Apache, Microsoft’s Azure HDInsight, HDP, Cloudera and more
Harness the Power of Hadoop Clusters
Run data prep and machine learning jobs directly inside Hadoop
- RapidMiner SparkRM enables all operations and data process flows in RapidMiner Studio to run in-parallel inside Hadoop
- Jobs are automatically translated into Spark and Hive
- No additional software is required in the Hadoop cluster environment
Maximize Your Investment in the Hadoop Ecosystem
RapidMiner supports Hadoop standards & security
- Re-use existing SparkR, PySpark, Pig, and HiveQL code
- Reduce risk and enforce compliance with built-in Apache Sentry & Apache Ranger support
- Deploy HDFS encryption to comply with data security policies
Learn more about RapidMiner Radoop
Related Resources
Analyst Report
Get a complimentary copy of the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms.
Solutions Snapshot
Read our platform brochure to learn more about how RapidMiner unifies the entire data science lifecycle from data prep, to machine learning and model operations.