HEaaN Homomorphic Analytics overview
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    HEaaN Homomorphic Analytics overview

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    Article Summary

    Available in VPC

    HEaaN Homomorphic Analytics is a data calculation service based on homomorphic encryption technology. You can perform different calculations safely while keeping data encrypted and machine learning jobs based on computing simulations and logistic regressions.

    Various features provided by HEaaN Homomorphic Analytics

    Please see below for detailed descriptions about a variety of features this service offers.

    • Homomorphic computation: Computations can be performed on encrypted data as it is and you can see the decrypted result only. This enables you to keep data security while performing various statistics analysis tasks.
    • Logistic regression machine learning: Machine learning tasks can be performed through the logistic regression learning feature.
    • Independent analysis environment: You can create a private instance to write data analysis code with Jupyter Notebook and check the results immediately.

    Guide to HEaaN Homomorphic Analytics

    Guide to HEaaN Homomorphic Analytics consists of a total of 6 topics that will help you to effectively use the service. The content that readers can view in each topic is as follows.

    NAVER Cloud Platform provides a variety of related resources as well as the guide to help customers better understand HEaaN Homomorphic Analytics. If you are a developer or marketer in need of detailed information while you are considering adopting HEaaN Homomorphic Analytics for your company or establishing data related policies, then please make good use of the resources below.


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