Data Virtuality: Best Practices for Orchestrating Hybrid- and Multi-Cloud Architectures

21 July 2022

2 min

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More and more enterprises are shifting to the hybrid-/ multi-cloud architecture approach in order to benefit from the flexibility, security, and potential cost optimization that these modern architectures offer.

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This whitepaper developed by our partners at Data Virtuality describes best practices for orchestrating Hybrid- and Multi-Cloud architectures and how the Data Virtuality Platform can enable these.

In this cloud journey, the cloud data ecosystem plays an essential role:

To build the architecture that fits your specific needs, not the one that the cloud platforms of your choice impose on you.
To fill the gaps that cannot be filled solely by one single cloud provider such as data integration, metadata management, data governance, and data quality.
To avoid another silo built in the infrastructure of the cloud platform.

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Data Virtuality’s mission is to enable businesses to leverage the full potential of their data by providing a single source of truth platform. Our flexible platform which combines different integration methods in one, is a reliable enabler and accelerator for modern data architectures, like data fabric, data mesh, unified data platform and hybrid-/ multi-cloud environments. Enterprises around the world, such as BSH, PGGM, PartnerRe, Crédit Agricole, and Vontobel use the Data Virtuality Platform to lower the costs associated with their data integration initiatives, increase the productivity of their data teams and reduce time-to-market.

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Data Virtuality: Best Practices for Orchestrating Hybrid- and Multi-Cloud Architectures

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