Distributed Data Mesh

Categories: ArchitectureBig Data & AnalyticsTechnology

Data platform challenges with data processing and analysis are many. Today, data engineers are using the Domain-Driven Design (DDD) through the Distributed Data Mesh architecture to help overcome these obstacles. The Data Mesh approach includes four important pillars: domain-driven data ownership, data as a product, self-serve infrastructure as a platform, and federated computational governance.

It’s crucial to thoroughly understand these components of Data Mesh before implementing them into an organization. Learn about Distributed Data Mesh, the current analytical data platform challenges, and how Data Mesh can overcome them by creating cloud and on-premise solutions through data storage, self-serve tooling, and more.

Authors

Author

Viktor Klymenko

Consultant

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Author

Volodymyr Trishyn

Senior Software Engineer

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Top Authors

Arti Gupta

Arti Gupta

Sr. Manager, Engineering

Siddhi Thakkar

Siddhi Thakkar

Manager, Engineering

Neven Dimač

Neven Dimač

Software Engineer

Mayank Gupta

Mayank Gupta

Senior Consultant

Hrushikesh Zadgaonkar

Hrushikesh Zadgaonkar

Senior Consultant, Engineering

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