A data mesh is a form of platform architecture.
The goal of the data mesh in organizing a business’ platforms is to maximize the value of analytical data. This is done by minimizing the time needed to access quality data. A well-designed data mesh delivers cutting-edge efficiency, allowing researchers to quickly access data from any data accessible source within the data mesh system. The data mesh model may replace data lakes as the most popular way to store and retrieve data.
Three components support data mesh architecture: domain-supported data pipeline, data sources and data infrastructure. There are layers of observability, data governance and universal interoperability.
Data mesh systems are useful for businesses with multiple data domains.
Many companies have data stored in different databases and formats, causing research and analytics problems. Some companies have attempted to resolve these problems by creating a single data warehouse or central data lake and downloading all data to it. This solves its problems, such as accessing an inaccurate copy of the original data and outdated information.
Data mesh can be quite useful for organizations that are expanding quickly and need scalability for their data storage.
Data mesh architecture allows data access from a number of locations rather than one central data warehouse or data lake.
(It should be noted that there are situations where it is completely appropriate to build a central data lake as an additional part of the data mesh system.)
The primary goal of data mesh is to create a system that maximizes the value of analytical data. The data mesh philosophy embraces a constantly changing data landscape, including increasing sources of data, the ability to transform data from one format to another, and improving the response time to change.
Four principles support the data mesh model:
- Federated computational governance
- Domain-oriented and decentralized data ownership, as well as architecture
- A self-serve platform as part of the data infrastructure
- Data-as-a-product rather than a by-product