Data Engineering
Make sure your data is analytics-ready before jumping into model creation. Use RapidMiner to explore, prep, catalog, and pipeline your data more efficiently.

Make sure your data is analytics-ready before jumping into model creation. Use RapidMiner to explore, prep, catalog, and pipeline your data more efficiently.
Bring in all your relevant data before starting a project.
Connect to today’s most popular enterprise applications, read from over 40 file types, and ingest any type of data—no matter its size, format (structured or unstructured like text, images and media), or whether it’s at rest or in motion.
Understand your data inside and out.
Use over 30 interactive visualizations to identify patterns, trends, and distributions within your data—as well as quality issues like missing values and outliers. Speed up building a thorough data understanding to identify promising areas for analysis.
“The insight that visualization provides speeds up your trip through data exploration so that you can get to model development and training quickly and efficiently.”
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Enjoy fast, fun, and interactive data prep.
Create the right datasets for your analytics projects by merging data from multiple sources, fixing data quality issues, and selecting the right features. Save all data prep and ETL pipelines for automation and re-use across your organization.
“If data preparation is such an important part of data science, we need to make it simpler. Let’s make sure that the resources we currently have, or we are going to hire in the future, are more productive.”
Know which inputs to include—and which to leave out.
Use Auto Feature Engineering to select the most relevant data attributes for the problem you’re trying to solve and ensure that models are their most accurate and understandable, depending on your business problems.
RapidMiner is the only data science platform you’ll need. Don’t just take our word for it—request a live demo to see for yourself.
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