How do data quality tools assist in handling duplicate data entries?
- Compression and decompression
- Deletion and archiving
- Encryption and decryption
- Identification and merging
Data quality tools aid in identifying duplicate data entries by comparing records and then merging them into a single, consistent representation. This process helps in maintaining data integrity and reducing redundancy within the dataset.
Loading...
Related Quiz
- In ETL testing, comparing record counts and key aggregates between source and target is known as ________.
- To effectively handle data anomalies, ETL processes often incorporate __________ techniques.
- Agile methodology promotes ________ to ensure early and continuous delivery of valuable ETL testing outcomes.
- In ETL processes, why is it important to monitor and tune the performance of database queries?
- The use of ________ in ETL processes is becoming more prevalent for efficient data transformation and loading.