CData Acquires Data Virtuality, Modernizing Enterprise Data Virtualization

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pggm
PGGM built a modern data delivery infrastructure to make data available to the entire organization in a fast, secure, and user-friendly way.
By bringing all the different data together for a comprehensive picture, the operational management of patient flow was drastically improved.
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.
The session explores five fundamental integration techniques—ETL, data virtualization, CDC, ELT, and streaming—discussing their benefits, limitations, and optimal applications.
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.
Drawing inspiration from the concept of an operating system, we aim to emulate a ‘Data OS’ experience for our users.
In this whitepaper, we delve into the benefits of using a combination of caching and data replication for data virtualization.