What is data governance in a data mesh architecture?

What is data governance in a data mesh architecture?

Data governance in a data mesh architecture refers to the decentralized approach to managing data across different domains, ensuring quality, security, and compliance.

How does it differ from traditional data governance?

Unlike traditional data governance, which is centralized, data mesh promotes domain-oriented ownership, allowing teams to manage their own data while adhering to global standards.

What are the key principles of data governance in a data mesh?

The key principles include domain ownership, self-serve data infrastructure, product thinking for data, and federated computational governance.

Can you give examples of tools used for data governance in a data mesh?

Sure! Tools like Apache Atlas for metadata management, dbt for data transformation, and DataHub for data cataloging are commonly used.

What challenges might organizations face when implementing this?

Organizations may face challenges such as cultural resistance, ensuring data quality across domains, and establishing clear governance policies.