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Answer: Automate the data inspection using scripts, classify it using predefined rules, and automate metadata entry.
Option B is the most efficient and accurate approach. Automating data inspection and classification ensures consistency and reduces the risk of human error. Automating metadata entry also ensures that the metadata is up-to-date and accurately reflects the nature of the new data.
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You are tasked with integrating a new data source into an existing data catalog, which includes both structured and unstructured data. What steps would you take to ensure that the new data is correctly classified and that its metadata is accurately captured in the catalog?
A
Manually inspect the data, classify it based on existing categories, and manually enter metadata.
B
Automate the data inspection using scripts, classify it using predefined rules, and automate metadata entry.
C
Ignore classification and metadata for new data; simply store the data in the catalog.
D
Outsource the task to a third-party vendor who specializes in data classification and metadata management.