Machine Learning on Hadoop
The past few years have shown us that Hadoop is a disruptive technology. It lays the foundation for deriving added business value from Big Data. However, many companies struggle with implementing analytics on Hadoop.The specialised architecture makes it highly complex, requiring unique coding skills to cope with the burden of complication. With analytics now widely considered a business requirement, the time has come for a platform that makes modern analytics on Big Data in Hadoop easy and hassle free. Radoop’s code-free visual environment abstracts from the complexity of Hadoop and allows business analysts to stay focused on the insights of analytics.
Visual Programming Environment
Hundreds of Code-Free Data Prep & Machine Learning Operations
Easy Integration of R & Python Scripts on Spark
Automatic Execution of Analytic Workﬂows into Hadoop
Supports Industry Standard Security
Leverages the Power of Hadoop to Minimize Data Movement
Speak to Hadoop for You
Big Data Predictive Analytics
Big Data Predictive Analytics
RapidMiner is at the forefront of Hadoop and Spark predictive analytics, bringing ease-of-use and visual analytics design to data scientists and analysts who are looking to extract value from their Big Data. RapidMiner Radoop, a core component of the RapidMiner Predictive Analytics Platform, extends predictive analytics to Hadoop and strongly supports Hadoop security implementations, all while delivering a seamlessly experience.
We speak Hadoop so you don’t have to
RapidMiner Radoop translates the predictive analytics workflows you design in RapidMiner Studio into the language of Hadoop. Radoop speaks native Hive, MapReduce, Spark, Pig and Mahout, ensuring that each step in the predictive analytics process is correctly integrated and executed across core Big Data technologies. This lets you focus on developing competitive analytics, rather than on programming Hadoop.
Insights into ALL your data
RapidMiner’s Radoop automatically creates and executes an optimal analytics plan for your Hadoop. It pushes analytic instructions into Hadoop and Spark where predictive analytics are executed across the entire cluster, taking advantage of the processing power of Hadoop. This allows analysis upon the full breadth and variety your Big Data, as compared to solutions that can only analyze subsets and pieces of extracted Hadoop data.
R Scripts in a Code-Free Environment? You Bet!
Radoop gives you added flexibility, letting you incorporate your favorite SparkR, PySpark, Pig and HiveQL scripts within your predictive analytics workflows. By adding SparkR and PySpark support in Radoop 2.6, RapidMiner becomes the first and only visual predictive analytics solution to combine data preparation on Spark, predictive analytics using Spark’s Machine Learning library (MLlib), and the ability to incorporate custom-built R and Python scripts.
Unleash the full power of predictive analytics using the RapidMiner Big Data scoring engine
Extract the full value from your Big Data in Hadoop with powerful predictive analytics while realizing up to a 20X performance increase over traditional Hadoop approaches.
Stay safe and sound
For “Kerberized” Hadoop clusters, RapidMiner Radoop integrates with Kerberos authentication so that users and their workflows can access necessary Hadoop services. RapidMiner Radoop also supports data access authorization employing Apache Sentry and Apache Ranger. All administration and configuration are reduced to a minimum for IT, while complexity is handled behind the scenes so users only see necessary settings.