Access to data on Google Cloud StorageĮasily 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-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. Govern product usage for analytics teams by putting guardrails on how RapidMiner Studio can be used, mitigating the risk of misuse. Admin control over settings and preferences 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. Tame the complexity of time series data in challenging use cases like demand forecasting or predictive maintenance. 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. Re-use and share: Create repeatable data prep processes to save time.Quickly extract, join, filter, group, pivot, transform and cleanse your data. 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.Point and click: Intuitively interact with the data and immediately see how changes impact results.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. Don't let yourself get slowed down by clunky data prep tools or by not having a whole lot of data science expertise yet. Spend less of your precious time preparing data. You can open the Start Page at any time by selecting File > New Process.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 If you want to do it yourself, create a new (blank) process from scratch in the Design View.If you want to see more examples, choose from one of the templates in the Samples Repository.If you want additional guidance, or you want to accelerate your data preparation and model building, try Turbo Prep, RapidMiner's tool for interactive data preparation, and Auto Model, RapidMiner's solution for automated machine learning.Once you've studied the tutorials, you can decide on your next step with the help of the Start Page: The Learn tab links to the following additional material: Later, you can reopen the tutorials by selecting File > New Process, It's a good idea to read the introduction and take the guided tour. Step-by-step tutorials are activated the first time you open RapidMiner Studio. For one-click deployment of models, try Deployments.For automated machine learning, try Auto Model.For interactive data preparation, try Turbo Prep.For help, best practices, and networking, visit the RapidMiner Community.Īlternatively, you can accelerate the learning process (and your model building).For a review of data science terminology, see the Getting Started Glossary.For basic data science tutorials, see the series 5 minutes with Ingo.For training videos, check out RapidMiner Academy.For a hands-on introduction to the user interface, read about the Design View.The suggestions provided on the Start Page. Once you've looked at the tutorials, follow one of Probably the best way to learn how to use RapidMiner Studio is the hands-on approach: You are viewing the RapidMiner Studio documentation for version 9.9 - Check here for latest version Getting started with RapidMiner Studio
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