Database is useful in the field of data science. Defend this statement.

Databases are crucial in data science as they provide structured storage for vast amounts of data, which is essential for analysis and modeling. Databases enable easy access, retrieval, and management of data, ensuring consistency and reducing redundancy. Data scientists rely on databases to store cleaned, processed data, and to perform queries to extract relevant information. For example, in machine learning, databases allow for efficient data preprocessing and retrieval, which can be used to train algorithms, making them a vital tool for any data science workflow.

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