Data Mesh: A modern architectural approach

Data Mesh is a modern architectural approach in data management and analytics. It shifts away from traditional centralized data management models (like data warehouses and lakes) and advocates for a decentralized approach. Here are the key characteristics and principles of Data Mesh:

Domain-Oriented Decentralized Data Ownership and Architecture:

Data Mesh emphasizes that data should be managed and owned by domain-specific teams (e.g., sales, marketing, logistics) rather than a centralized data team. This approach allows each team to control and optimize their data based on their specific needs and expertise.

Data as a Product:

In a Data Mesh, data is treated as a product, with each domain team responsible for the lifecycle of the data products they own. This includes ensuring data quality, reliability, and usability. Data products are built to be discoverable, understandable, trustworthy, and usable by other teams.

Self-Serve Data Infrastructure as a Platform:

To enable domain teams to manage their data products effectively, a self-serve data platform is provided. This platform offers tools and capabilities for data storage, processing, and analytics, ensuring teams can access and use data with autonomy but without needing to manage complex…