The process of ______________ involves identifying and resolving inconsistencies in data to ensure data quality.
- Data cleansing
- Data integration
- Data profiling
- Data transformation
Data cleansing is the process of identifying and resolving inconsistencies, errors, and discrepancies in data to ensure its quality before it is used for analysis or other purposes.
Loading...
Related Quiz
- Which of the following SQL statements is used to add a new column to an existing table?
- The process of standardizing data units, formats, and structures across diverse data sources is known as ________.
- Scenario: Your company is dealing with a massive amount of data, and performance issues are starting to arise. As a data engineer, how would you evaluate whether denormalization is a suitable solution to improve performance?
- In data modeling, what does the term "Normalization" refer to?
- Scenario: A social media platform experiences rapid user growth, leading to performance issues with its database system. How would you address these issues while maintaining data consistency and availability?