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Learn how Data Virtuality enables you to make your data infrastructure more flexible, scalable and future-proof.

Sign up for our webinar and get a business-centric perspective of NYU’s journey towards self-service data with the help of data virtualization.
Explore the potential of different integration styles (ETL, data virtualization, CDC, ELT, and streaming) to enable use cases and drive business value, and how to apply them to your specific needs.
Join Data Virtuality and Prodato at Data Festival 2024 in Munich. Network with leading data professionals, engage in rich discussions about AI’s impactful applications, and explore how we can shape a forward-thinking future using data and AI.
In this webinar, we aim to demystify the role of AI in data integration and management. We will clarify common misconceptions regarding business leaders' expectations and help identify AI use cases best suited for various business needs.
Our webinar looks at the intricate dynamics of current market trends such as data fabric and data mesh, and the incorporation of AI-enhanced tools to streamline data integration.
In this whitepaper, we delve into the benefits of using a combination of caching and data replication for data virtualization.
Looking to unravel the mystery of Data Mesh? Check out our Q&A paper with Forrester, where we dive into the ins and outs of this revolutionary approach to data architecture.
Data Virtuality Platform SaaS helps data teams reduce the complexity of implementing, operating, and maintaining data virtualization.
This whitepaper shares the benefits of a mature data governance strategy and how Data Virtuality has aligned its approach to supporting our clients’ varied data governance needs.
This ebook will give you a state-of-the-art overview of all data replication approaches and helps finding the right one for your organization.
What is the Data Mesh and why is it needed? Enrich your understanding of Data Mesh and how you can enable it with the Data Virtuality Platform.
In this Q&A paper Noel Yuhanna, VP and Principal Analyst at Forrester, answers frequently asked questions about the Data Fabric architecture.

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