Data Quality in Practice
summary
Sunil Choenni discusses practical data quality for organizations using big data, explaining that poor input causes poor analysis results and highlighting data quality as a core challenge alongside privacy and ethics. He outlines how to prevent data-quality problems and how to assess and organize data quality for reliable analytics.
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chapters (6)
- 0:00Introduction
- 5:20Data quality definition
- 13:29Examples and cases
- 26:29Quality levels
- 33:30Domain knowledge
- 41:19Implementation
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