It takes a lot more than rugged and hardened data architecture to ensure data quality. One way of thinking about data quality issues as they relate to data architecture is to examine and address them through a layered approach described in this Advisor.
Advisor
Take a Look at 4 Layers of Data Architecture and Data Quality
By Rich Huebner
Posted December 9, 2020 | Technology |
About The Author
Rich Huebner is a Principal Data Architect and Data Scientist at Houghton Mifflin Harcourt with extensive experience across multiple industries. His focus is in IT strategy, IT and data governance, data architecture, business intelligence, and analytics. Dr. Huebner has taught computer science and information systems courses for over 15 years, and he recently completed a video series on data preprocessing methods with Python through Experfy. His… Read More
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