RapidMiner Studio
Visual workflow designer for the entire analytics team
Visual Workflow Designer
Increase productivity across the entire data science team, from analysts to experts
- Speed up and automate the creation of predictive models in a drag + drop visual interface
- Rich library of 1500+ algorithms and functions ensures the best model for any use case
- Pre-built templates for common use cases including customer churn, predictive maintenance, fraud detection, and many more
- “Wisdom of Crowds” provides proactive recommendations at every step to help beginners
Connect to Any Data Source
Work with all of your data, no matter where it lives
- Instantly create point + click connections to databases, enterprise data warehouses, data lakes, cloud storages, business applications and social media
- Easily re-use connections any time and easily share them with anyone who needs access
- Connect to new sources with extensions from the RapidMiner Marketplace
Automated In-database Processing
Run data prep and ETL inside databases to keep your data optimized for advanced analytics
- Query and retrieve data without writing complex SQL
- Harness the power of highly scalable database clusters
- Supports MySQL, PostgreSQL, and Google BigQuery
Data Visualization & Exploration
Evaluate data health, completeness, and quality
- Understand patterns, trends, and distributions with scatter plots, histograms, line charts, parallel coordinates, box plots, and more
- Quickly find and fix common data quality problems including missing values and outliers
- Explore data using robust statistical overviews and over 30 interactive visualizations
Data Prep & Blending
Eliminate the hassle of preparing data for predictive modeling
- RapidMiner Turbo Prep offers a fully interactive point + click data prep experience
- Extract, join, filter, and group data across any number of sources
- Create repeatable data prep and ETL processes that can be scheduled and shared
Visual & Automated Machine Learning
Quickly create impactful machine learning models without writing code
- RapidMiner Auto Model creates models in 5 clicks using automated machine learning
- Choose from hundreds of supervised and unsupervised machine learning algorithms
- Implement basic and advanced ML techniques including regression, clustering, time-series, text analytics, and deep learning
- Build the model to be sensitive to constraints like costs to optimize the predictions for your desired business impact
- Use both automated and manual feature engineering to optimize model accuracy
Model Validation
Understand the true performance of a model before deploying to production
- Eliminate overfitting through a unique approach that prevents model training pre-processing data from leaking into the application of the model
- Add proven techniques, like cross validation, to a model with just a single mouse click
Explainable Models Not Black Boxes
Create visual data science workflows that are easy to explain and easy to understand
- Each step in the data prep, modeling, and validation process is documented for complete transparency
- Visuals are easy to explain to others in the organization to gain buy-in for deployment
- Supports the Local Interpretable Model-Agnostic Explanations (LIME) framework
Get More From R & Python Code
Scalable code deployment and collaboration between coders and non-coders
- Deploy code-based models and code-containing models into a scalable platform
- Eliminate duplicate work and ensure others re-use your work by uploading your code snippets into the RapidMiner repository for use in a simplified visual workflow designer
- Make use of the vibrant Python ecosystem by building on top of specialized and cutting-edge libraries and making it available for the rest of your team using RapidMiner
- Leverage data prep and ETL pipelines others have produced
Flexible Scoring & Model Operations
Turn predictive insights into business impact
- Quickly deploy scored data to spreadsheets and data visualization tools or turn models into production web services with RapidMiner Server
- RapidMiner Model Ops delivers an easy way for less advanced users to put models into production and properly manage them
- Integrate with enterprise scheduling tools
- Add RapidMiner Real-Time Scoring for demanding high transaction / low latency use cases
Automation & Process Control
Build sophisticated visual workflows and automate important tasks
- Use process control operators to create workflows that repeat and loop over tasks, branch flows and access system resources
- Supports a variety of scripting languages for custom integrations and automatons
- Schedule processes
Open & Extensible
Integrate with existing applications and code
- Use R and Python code and libraries to extend RapidMiner
- Integrate RapidMiner with Python through the RapidMiner Python library on Github
- Download new functionality provided by RapidMiner, our partners, and community through the RapidMiner Marketplace
- Add new capabilities to RapidMiner through its flexible extension mechanism
- RapidMiner Studio open core is available under the AGPL license
Learn more about RapidMiner Studio
Related Resources. Take a Look!
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This track explains the use of RapidMiner Studio and its ecosystem while introducing many of the really important data science concepts at the same time.