In the context of data governance, explain the importance of each of the four areas: data quality, data architecture, data operations, and data policy. Provide a detailed scenario where poor governance in one of these areas could lead to significant issues in an organization.

Simulated

Data quality ensures data is accurate and reliable, but poor governance here might not affect data operations.

12.6%

Data architecture focuses on the design of data systems, and poor governance could lead to inefficient data storage solutions.

45.2%

Data operations manage day-to-day data tasks, and poor governance could result in data breaches.

21.1%

Data policy outlines rules for data usage, and poor governance could lead to legal issues.

21.1%

Databricks Certified Data Engineer - Associate