Arranging data for efficient retrieval is called data organization.
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Q10: Normalization is usually viewed as a multistep
Q11: N-tier database systems provide a great deal
Q12: A database typically consists of interrelated tables
Q13: One of the most common types of
Q14: Most databases created today do not use
Q16: Data integrity refers to the accuracy of
Q17: Views need to be designed to extract
Q18: To protect against data loss caused by
Q19: Data accessibility refers to protecting data against
Q20: Object-oriented and multidimensional databases are two examples
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