Data mesh and data fabric are modern architectural approaches that aim to solve today’s data management challenges. Data mesh focuses on delivering data products built by the teams that own the data. Data fabric focuses on technologies that obscure the complexities of disparate and distributed data. The proponents of each approach sometimes give the impression that they’re mutually exclusive. However, they are more complementary than competitive, as evidenced by the feature convergence of data mesh and data fabric products.

Two main principles of data mesh are domain data ownership and data as a product. They assert that those closest to the data—the owners of a functional domain—should be responsible for delivering data to users in the forms they need, i.e., data products. Data mesh and data fabric also include the concepts of a self-service data platform and automated governance. The goal is to make it easy for data consumers to find and use data products and ensure disparate data products adhere to common standards.

This 3-hour virtual event is designed to help data leaders evaluate and select data mesh and data fabric tools that deliver and manage discoverable, addressable, and trusted data products. The event compresses the time it takes data leaders to understand an emerging technology, create a short list of products, and hear tips from experts, practitioners, and solutions providers in the field.

Attendees Will Learn:

👉 Technologies that are powering the rise of data mesh and data fabric

👉 Why domain ownership and data products are replacing centralized legacy approaches

👉 How to blend data mesh and data fabric concepts to deliver and manage data products

👉 The features you should consider when evaluating data mesh and data fabric products

👉 Tips for success and traps to avoid

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