Data Quality Dimensions
Kevin discusses the intrinsic and extrinsic dimensions of data quality, emphasizing the importance of accuracy, completeness, and consistency, even when data isn't actively used. He highlights how the relevance of data can significantly impact its usefulness, particularly in critical applications like machine learning and ad spending. Priyanka adds to the conversation by addressing the need for caution regarding private data in software observability.In this clip
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Software Engineering Radio - the podcast for professional software developers
Episode 507: Kevin Hu on Data Observability
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