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Privacy principles, such as data minimization and purpose limitation, influence database administration by requiring administrators to only collect and store necessary data, limit access to individuals who need it for specified purposes, and ensure data accuracy and security through proper safeguards and controls. Adhering to these principles helps protect individuals' privacy rights and mitigate risks of unauthorized disclosure or misuse of sensitive information within databases.

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Q: How privacy principals affect database administration?
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How do privacy principles affect database administration?

Privacy principles play a critical role in database administration by guiding how personal information is collected, stored, and accessed. Database administrators must ensure that data is protected from unauthorized access, only used for its intended purposes, and kept accurate and up-to-date in compliance with privacy regulations such as GDPR or CCPA. Implementing privacy principles helps build trust with users and mitigate the risk of data breaches or misuse.


What guideline affect how information shared?

Some guidelines that affect how information is shared include privacy policies, confidentiality agreements, and data protection regulations. These guidelines help ensure that sensitive information is handled securely and responsibly to protect individuals' privacy and prevent unauthorized access or disclosure.


Compare and contrast traditional file system and computerized database approach?

Traditional file systems store data in files and hierarchically organize them in folders, whereas computerized databases store data in tables, rows, and columns, allowing for more structured and flexible storage. Databases allow for data relationships to be easily defined and managed, while file systems are typically more limited in their ability to handle complex data structures and relationships. Databases offer features like data integrity constraints, indexing, and query capabilities that are not commonly found in traditional file systems.


Is it harder to achieve logical data independence or physical data independence?

It is generally considered more difficult to achieve logical data independence compared to physical data independence. Logical data independence involves separating the conceptual structure of the data from the physical storage aspects, which can be complex depending on the database design. Physical data independence primarily deals with shielding the application from changes in the storage structure, which is usually more straightforward to achieve.


Did Darwin theory if evolution affect the way species are classified?

No Darwin's theory was not directly linked to classification .

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