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Data integrity and quality are cornerstones for creating highly accurate predictive models. These sections describe the tools and visualizations DataRobot provides to ensure that your project doesn't suffer the "garbage in, garbage out" outcome.

You can manage and prep data directly in DataRobot Automated Machine Learning (AutoML), as well as in other tools, such as Data Prep. These pages describe how to do so.

Topic Describes...
Import data Import data from a variety of sources.
Connect to data sources Set up database connections using a “self-service” JDBC platform.
Prepare data Use Data Prep and the AI Catalog to clean and update your datasets.
Transform data Transform primary datasets and perform Feature Discovery on multiple datasets.
Analyze data Investigate data using reports and visualizations.

Updated September 28, 2021
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