What are the best practices for data validation in batch analytics?
An example of an AI chatbot conversation about data validation in batch analytics.
What are the best practices for data validation in batch analytics?
Best practices include defining validation rules, using automated checks, and ensuring data consistency.
Can you explain how automated checks work?
Automated checks involve using scripts or tools to verify data against predefined rules without manual intervention.
What types of validation rules should I consider?
Consider rules for data type checks, range checks, uniqueness, and referential integrity.
How can I handle data quality issues when they arise?
Implement a data quality framework that includes monitoring, reporting, and corrective actions for issues.
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