Data mesh has become an increasingly popular approach to data management in recent years. Companies in all industries are choosing data mesh for decentralized data management to improve data agility and avoid the organizational bottlenecks often connected with centralized and monolithic approaches.
Data mesh is primarily an organizational approach that defines responsibilities and coordination across separate domain teams and their data products. However, the right technology is needed to enable the domains to follow the data mesh concept in a feasible way. Snowflake is being used successfully as a data platform by many companies that follow a data mesh approach.
This paper discusses the Snowflake approach to data mesh. It describes some of the most critical Snowflake capabilities for a data mesh and presents typical architecture options that our clients have chosen in order to implement a self-service data platform that supports distributed domains.