Data Mesh

Turn your data into usable products

Data Mesh is a new socio-technical data management paradigm which challenges the traditional monolithic data architectures with a decentralizing approach by changing the understanding of data from being an asset to data being a product that is used rather than treasured. The owner of the data in such a decentralized infrastructure are the domains (the organizational units) who generates the data and understands the data the best. The domains are in charge of preparing and sharing the data so other domains can consume it in a self-serve manner. Automated processes and centralized governance and security measurements are further fundamental components of a data mesh.

The ultimate goal of this framework is to try to solve the resource bottlenecks of a centralized data management architecture and to bridge the gap between the business needs and the technology. 

The Data Virtuality Platform enables logical and distributed architectures which are essential to the data mesh concept by combining the two technologies data virtualization and automated ETL.

How the Data Virtuality Platform enables a Data Mesh

Your Key Benefits and Features

Scalability through decentralized data ownership

  • Domains can autonomously set up data assets and data models
  • Data virtualization with or without data replication supports decentralized architecture
  • SQL makes the use of the tool easier in all the different domains

Data becomes a product as it can be easily discovered, understood, and securely used

  • Web Business Data Shop makes the data discoverable and addressable
  • Connectors enable easy access to data assets
  • Data delivery layer provides a powerful and easy-to use foundation for using data as products

Reduced complexity supporting autonomous data consumption through self-serve platform

  • Data Marketplace provides self-service access to data
  • Data modeling layer which can be used by business users and can be easily shared
  • Analytical as well as operational data can be easily combined and used

Healthy and interoperable ecosystem through global rules for federated governance

  • Unified governance of decentralized data
  • Security and data protection features as well as row/column level security, data masking are provided within the Data Virtuality Platform
  • External centralized identity and policy management platforms (such as Colibra) can be easily integrated

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