What is the impact of batch processing on data quality?
Batch processing can significantly affect data quality by introducing delays and potential errors during data handling.
Can you explain how delays in batch processing lead to data quality issues?
Delays can cause outdated information to be used, leading to decisions based on inaccurate or incomplete data.
Are there specific strategies to improve data quality in batch processing?
Yes, implementing data validation checks and regular audits can help enhance data quality in batch processing.
What are the common errors that occur during batch processing?
Common errors include data duplication, loss of data integrity, and incorrect data formatting.
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