Data Mesh: Challenges and Data Ownership

As a business architect and expert, I can explain that the concept of data mesh is a decentralized approach to data architecture that emphasizes data ownership, domain-oriented decentralized data teams, and a focus on data product delivery.

In a data mesh architecture, data is owned and managed by domain-specific teams, rather than being centralized in a single data team or department. This allows for greater agility and flexibility in the creation and delivery of data products.

To identify the owner of data within an organization and build data mesh data products, you can follow these steps:

1. Define domains: Identify the different domains within the organization that deal with different types of data. These could be functional domains such as finance, marketing, or HR, or technical domains such as data engineering, data science, or analytics.
2. Assign domain teams: Assign teams to each domain based on their expertise and the data they are responsible for. Each team should have ownership over their domain-specific data, as well as the ability to create data products that meet the needs of their stakeholders.
3. Define data products: Work with the domain teams to define the data products they will deliver to their stakeholders. These products should be designed to meet specific…