Data virtualization is an agile approach to integrating data from disparate sources without physically moving them.
Adjustments required by constantly changing business needs can be quickly tested and implemented. Contrary to the traditional extract, transform, and load (ETL) process, data can also be accessed in real-time.
In this episode of the EM360 Podcast, Editor Matt Harris speaks to Nick Golovin, Founder and CEO of Data Virtuality, about:
- Advanced approach to data virtualization
- How SaaS impacts the market
- Difference between data virtualization as SaaS and SaaS data warehouses
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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