You are viewing the RapidMiner Studio documentation for version 9.0 - Check here for latest version
What's new in RapidMiner Studio 9.0
RapidMiner Turbo Prep
Spend less of your precious time preparing data. Don't let yourself get slowed down by clunky data prep tools or by not having a whole lot of data science expertise yet. Use the new RapidMiner Turbo Prep to easily transform, pivot and blend data from multiple sources with a few clicks while instantly seeing the impact of your actions on the data.
- Point and click: Intuitively interact with the data and immediately see how changes impact results.
- Blend, wrangle, and cleanse: Easily blend and join data from a variety of sources including relational databases, NoSQL, APIs, spreadsheets, applications, social media, and more. Quickly extract, join, filter, group, pivot, transform and cleanse your data.
- Re-use and share: Create repeatable data prep processes to save time. When you are finished, send your data directly to RapidMiner Studio or Auto Model for model creation, save your data as Excel or CSV or publish it to data visualization products like Qlik.
Time series modeling & forecasting
Tame the complexity of time series data in challenging use cases like demand forecasting or predictive maintenance. Analyze time series data with the new, now built-in time series modelling & forecasting capabilities: Forecast data using ARIMA or any Machine Learning based prediction model, cleanse your time series data by interpolating missing values or applying moving average filters, apply transformations like windowing or a fast Fourier transform (FFT) or perform feature extraction.
Admin control over settings and preferences
Govern product usage for analytics teams by putting guardrails on how RapidMiner Studio can be used, mitigating the risk of misuse. Pre-configure RapidMiner Studio installations within your organization and enforce important settings and preferences such as policies on password storage, extensions and operators available for use, and proxy settings.
Access to data on Google Cloud Storage
Easily access data on Google Cloud Storage using the new Read Google Storage, Write Google Storage, and Loop Google Storage operators which now accompany their Amazon S3 and Azure Blob Storage counterparts.
Pre-connected training and community repositories
Browse and learn from curated training resources or get inspired by sample content provided by community members, both of which are directly available through pre-connected repositories in RapidMiner Studio.
Enhancements and bug fixes
The following pages describe the enhancements and bug fixes in RapidMiner Studio 9.0 releases: