The Ins and Outs of Data Mesh

Data Mesh Whitepaper

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In our Data Mesh whitepaper we show you how this approach challenges the traditional monolithic data architectures of enterprises that still aren’t able to fully manage the large number of sources and enable the diverse set of consumers.

This socio-technical data management concept tries to solve the bottlenecks of a centralized data architecture such as data lakes and to bridge the gap between the business needs and the technology. The idea is to

  • shift the mindset to data being a product that is used rather than an asset that is treasured.
  • transfer the data ownership to the domains (the organizational units) who generates the data and understands the data the best.
  • automate processes and centralize governance and security measurements.

Learn more about the ins and outs of Data Mesh and how the Data Virtuality Platform can help you to enable this.

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Highlights From Our Resources

Data Fabric Questions & Answers Paper with Forrester

Noel Yuhanna, VP and Principal Analyst at Forrester, answers frequently asked questions about the Data Fabric architecture.

Webinar: Data Architectures for Data Science Using Data Virtualization

In this on-demand webinar, we look at how a modern data architecture can help data scientists to work more efficiently.

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