Data Architecture Strategies: Data Quality Best Practices

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Tackling data quality problems requires more than a series of tactical, one off improvement projects. By their nature, many data quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process and technology. Join Donna Burbank and Nigel Turner as they provide practical ways to control data quality issues in your organization.
  1. DATAVERSITY
  2. data education
  3. dataversity
  4. webinar
  5. data architecture
  6. data quality
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Комментарии
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How are the supporting slides obtained? Thank you.

castdoubtproductions
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What do you do if you can't update the application to enforce data input rules? Some applications are a little more closed off, so it can be difficult to enforce business rules in the application.

rickyrenner
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Also, does data quality work pretty much the same if we're talking about application integration architecture and not data architecture?

rickyrenner