SnapLogic Data Science

Bringing self-service to machine learning

SnapLogic Data Science accelerates the development and deployment of machine learning (ML) models, so you can reap the benefits of AI faster.

The future belongs to companies that excel in data-based decision making. Machine learning (ML) is becoming the best vehicle for achieving this data supremacy.

Traditional approaches to machine learning are code-intensive, redundant, and fragmented. SnapLogic Data Science offers a self-service alternative to machine learning that accelerates and increases the success of your ML projects. Now, data engineers, data scientists, DevOps, and anyone else in the ML lifecycle can take a visual drag-and-drop approach to collecting and preparing data, developing ML models, and deploying those models. And this all happens inside one unified platform.

SnapLogic supports the entire machine learning lifecycle

SnapLogic Data Science, in combination with the Intelligent Integration Platform, is a self-service platform for end-to-end ML that offers a low-code approach to data acquisition, data exploration and preparation, model training and validation, and model deployment. The solution includes three sets of pre-built pipeline components (Snap Packs):

  • ML Data Preparation Snap Pack – Perform preparatory operations on datasets such as data type transformation, data cleanup, automated feature engineering, matching, sampling, shuffling, and scaling.
  • ML Core Snap Pack – Perform operations on machine learning data sets such as model training, cross-validation, model-based predictions, and automated machine learning.
  • ML Analytics Snap Pack – Perform analytic operations such as data profiling and data type inspection.

Try self-service machine learning today.

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“Our team at Boston University is looking forward to leveraging … the new Machine Learning Snap Pack[s].”

-Carmine A. Granucci, Assistant Director of Integration, Boston University

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