What you'll learn

Data teams spend too much time arguing about numbers instead of using them. Conflicting definitions, undocumented transformations, and quality issues with no clear owner all erode trust in data assets. In this course, Data Governance: Data Quality and Metadata, you’ll gain the ability to apply practical metadata and data quality governance to make high-value data assets trusted and understandable. First, you’ll explore how metadata, business glossaries, CDEs, and lineage practices give data context and traceability. Next, you’ll discover how to translate business expectations into governed data quality rules, assign accountability through owners and stewards, and manage issues from detection to root-cause resolution. Finally, you’ll learn how to apply these practices to real scenarios, diagnosing broken reporting environments, prioritizing governance attention, and understanding where tools alone fall short. When you’re finished with this course, you’ll have the skills and knowledge of data governance needed to improve confidence in the data your organization depends on.