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Thread: mask

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    You cannot ignore Java considering how well the Android app market is performing

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    Data masking is important for your organization because it not only protects private information but gives you the freedom to conduct robust testing with realistic data and outsource testing and development. Data masking enables you to: Protect your customers and your company.

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    Data masking is a method of creating a structurally similar but inauthentic version of an organization's data that can be used for purposes such as software testing and user training. The purpose is to protect the actual data while having a functional substitute for occasions when the real data is not required.

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  6. #6
    Join Date
    Jun 2018
    Emeryville, CA


    Technically, a mask is string expression, defined by a developer that constrains user input. Data masking is a technique of creating a structurally similar but false version of an organization's data that can be used for determinations such as software testing and user training.

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