The popularity of data mesh has skyrocketed in recent years thanks to its ability to decentralize and streamline data workflows. As a result, data teams have benefited from greater flexibility, scalability, and utilization of data products, while increasing horizontal data sharing across their organizations.
For customers of Snowflake, data mesh is a natural choice for enabling self-service analytics with the full power of the Snowflake Data Cloud. Immuta’s native integration with Snowflake helps ensure that Snowflake data mesh architectures are both secure and effective.
But whether you’re just getting started with data mesh or are looking to improve upon your existing framework, operationalizing decentralized, self-service data use while maintaining security can be a challenge for even the most advanced teams. That’s why we’ve partnered with Snowflake to create a roadmap for maximizing the productivity and value of your Snowflake data mesh.
In this eBook, you’ll see:
- The four key components of data mesh and how to manage each when rolling out a data mesh architecture
- How Snowflake’s self-service platform capabilities combine with Immuta to simplify decentralized access and security
- A real life scenario showing how Snowflake and Immuta streamline data mesh operations for sensitive medical information
