In data cleansing, what does the term "data deduplication" refer to?
- Converting data into a standardized format
- Encrypting sensitive data for security
- Identifying and removing duplicate records
- Indexing data for faster retrieval
In data cleansing, the term "data deduplication" refers to the process of identifying and removing duplicate records or entries from a dataset. By detecting and eliminating redundant data, data deduplication helps improve data quality, reduce storage space requirements, and enhance the efficiency of data processing and analysis. It is a crucial step in maintaining data integrity and consistency.
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