A data analyst needs to store data in multiple locations without duplication. Which tool can they use to avoid unnecessary data duplication?

Rationale

Relational databases are effective tools for storing data in multiple locations without duplication.

Relational databases utilize structured schemas and normalization techniques to minimize redundancy and ensure data integrity. By organizing data into tables with defined relationships, they enable efficient data management across various locations while preventing unnecessary duplication.

A (Data encryption) YOUR ANSWER

Data encryption is a security measure used to protect data from unauthorized access by converting it into a coded format. While it is crucial for safeguarding sensitive information, it does not address the issue of data duplication or management across multiple storage locations.

B (Relational database) CORRECT

Relational databases allow for efficient data storage and retrieval, utilizing tables that can link related data without redundancy. Through normalization, they ensure that data is stored in a single location and referenced when needed, thus preventing duplication while enabling multiple access points.

C (Data lake) YOUR ANSWER

A data lake is a storage repository that holds vast amounts of raw data in its native format until needed. While it allows for flexible data storage, it does not inherently prevent duplication, as data is often stored in multiple formats without the structured organization that a relational database provides.

D (Data security) YOUR ANSWER

Data security encompasses a range of practices aimed at protecting data from unauthorized access and corruption. While it is essential for safeguarding data integrity, it does not provide a mechanism for organizing or storing data across multiple locations efficiently without duplication.

Conclusion

Relational databases are specifically designed to manage data effectively, allowing analysts to store information in multiple locations without creating duplicates. By leveraging structured relationships and normalization, they maintain data consistency and integrity, which is essential for effective data analysis and reporting. Other options like data encryption, data lakes, and data security focus on different aspects of data management and protection but do not address the need to avoid duplication.

A data analyst needs to store data in multiple locations without duplication. Which tool can they use to avoid unnecessary data duplication?

Relational databases are effective tools for storing data in multiple locations without duplication.

Related Questions

Related Quizzes

How familiar were you with this question?

Report an Issue

Rate this Practice Test