Selecting a Self-Service Data Prep Solution


Creating a Cooperative Data Science Workflow with Datameer and Amazon SageMaker

With so many options for data preparation, exploration and analytics being offered in the cloud, it is important to dig deep and understand the capabilities and architecture of these offerings. Download this white paper to see a real example of using Datameer with Amazon SageMaker.

Learn how on AWS you can:

    • Use Datameer to shape, cleanse and explore the data, then extract features from the data that are most optimal for our model.
      • Use a notebook in SageMaker to apply a random forest model, then train and test the model using the SageMaker platform.
      • Take test results back into Datameer and explore the results across various attributes to see where it is accurate and improvements can be made.

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