Building an Event-Driven Data Mesh by Adam Bellemare

Author:Adam Bellemare
Language: eng
Format: epub
Publisher: O'Reilly Media

Multiregion and Multicloud Data Products

A data mesh may be composed of multiple cloud services across multiple regions. For example, you may have multiple Kafka clusters, multiple Kubernetes deployments, and multiple cloud storage buckets. Scalability requirements typically play a significant role in adopting multiple infrastructure deployments, though data locality and regional regulations are also important considerations. Data regarding business activities that may be illegal in other countries (e.g., marijuana and alcohol sales) should remain in the country of origin. Similarly, GDPR and data privacy laws tend to require that data about citizens also remain in the country of origin.

Applying governance controls at the self-service platform level gives you a primary point of control for what is and isn’t allowed. There are several factors to consider when building out your own multicloud deployments:

Regional permission requirements

Federated governance plays an important role in determining the boundaries for where data products can be accessed and copied to. For example, an application running in the United States may be unable to access a data product because of legal restrictions. Similarly, you may be unable to copy a data product from one region to another based on data domiciling restrictions.

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