How does metadata contribute to effective data management in large-scale data systems?
Metadata plays a pivotal role in data management by offering detailed descriptions of data assets, allowing for seamless organization and retrieval. For example, in a library management system, metadata for books (title, author, genre, ISBN) allows users to search for and access specific resources efficiently. Similarly, in large-scale data systems, metadata aids in indexing and categorizing vast datasets, ensuring they are accessible and well-organized. Tools like database schemas, file attributes, and XML tags leverage metadata for improved data governance, making it a cornerstone of any robust data infrastructure. Why Other Options Are Incorrect: • A: Metadata describes data; it does not store raw data itself. • C: Metadata complements visualization tools; it cannot replace them. • D: Metadata supports analysis by organizing data but does not directly analyze trends. • E: Metadata describes primary data; it does not replace or substitute it in analytics.
What is the purpose of virtual memory?
Which notation is used to represent a weak entity in an ER diagram?
Null value in DBMS corresponds to?
Which isolation level ensures that a transaction can read data that is consistent with the start of the transaction?
Which number system uses a base of 2?
Which data structure is used for implementing depth-first search (DFS) algorithm?
What is a primary key in the context of the ER model?
In dynamic programming, what does "optimal substructure" mean?
Which sorting algorithm is known for its best-case time complexity of O(n) when the input is already partially sorted?
Which command is used to perform arithmetic operations in a shell script?