In the last post in my ongoing series about ETL best practices, I discussed the importance of error handling in ETL processes, reviewing best practices for application flow to prevent or gracefully recover from a systematic error or data anomaly. In this post, I’ll dig a bit further into that topic to explore the design patterns for managing bad data that makes...
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