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

ViktorKlymenkoSmall-Viktor-Klymenko

Author

Viktor Klymenko

Consultant

View all Articles

Avatar-Volodymyr-Trishyn

Author

Volodymyr Trishyn

Senior Software Engineer

View all Articles

Top Insights

Immersive Technologies AR & VR in Education

Immersive Technologies AR & VR in Education

Augmented Virtual RealityTechnology
If You Build Products, You Should Be Using Digital Twins

If You Build Products, You Should Be Using...

Digital TransformationTesting and QAManufacturing and Industrial

Top Authors

Yuriy Yuzifovich

Yuriy Yuzifovich

Chief Technology Officer, AI

Richard Lett

Richard Lett

VP of Healthcare Technology

Amit Handoo

Amit Handoo

Vice President, Client Engagement

Ravikrishna Yallapragada

Ravikrishna Yallapragada

AVP, Engineering

Mark Norkin

Mark Norkin

Consultant, Engineering

Blog Categories

  • URL copied!