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

Data encryption is a security measure that protects data by converting it into a coded format, making it unreadable without the appropriate decryption key. While encryption is crucial for safeguarding sensitive information, it does not address the issue of data duplication or storage management. Therefore, it is not an effective tool for preventing unnecessary data redundancy.

A data lake is a storage repository that holds vast amounts of raw data in its native format until it is needed. While data lakes can store data from multiple sources, they often do not enforce structure or normalization, leading to potential duplication issues. Thus, a data lake does not inherently solve the problem of data duplication like a relational database does.

Data security encompasses various measures and practices aimed at protecting data from unauthorized access and corruption. While important for overall data management, data security does not specifically address the need to avoid data duplication within storage systems. Therefore, it falls short of providing a solution for the analyst's requirement.