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UC Davis Previously Published Works Title Relationships and Data Sanitization: A Study in ScarletPermalink https://escholarship.org/uc/item/56n796pqJournal Proceedings of the 2010 New Security Paradigms
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How to fill out relationships and data sanitization

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To fill out relationships, follow these steps:
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Identify the entities or tables in your database that need to be related.
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Determine the type of relationship between these entities, such as one-to-one, one-to-many, or many-to-many.
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Create the necessary fields or columns in each table to establish the relationship.
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Populate the fields with the appropriate data to establish the connections between the entities.
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Ensure that the relationships are correctly set up and maintained in your database management system.
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To perform data sanitization, you can follow these guidelines:
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Identify the sensitive data that needs to be sanitized, such as personal information or confidential records.
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Use appropriate algorithms or techniques to sanitize the data, such as encryption, masking, or hashing.
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Implement data validation and sanitization routines in your application to prevent the injection of malicious code or harmful data.
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Regularly update and review your data sanitization procedures to stay up to date with the latest security standards and practices.
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Relationships and data sanitization refer to the process of defining and cleaning up data in a database to ensure accuracy and consistency.
Data administrators and database managers are typically responsible for managing relationships and data sanitization.
To fill out relationships and data sanitization, one must identify and document the relationships between different data entities and perform data cleansing activities such as removing duplicates and correcting errors.
The purpose of relationships and data sanitization is to maintain data integrity, improve data quality, and ensure accurate reporting and analysis.
Information such as data entity relationships, data cleansing activities performed, and data quality metrics must be reported on relationships and data sanitization.
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