DATA VIRTUALISATION (DV) IN PRACTICE:
OPTIMISING PERFORMANCE & VENDOR LANDSCAPE

DATA VIRTUALISATION (DV) IN PRACTICE : OPTIMISING PERFORMANCE & VENDOR LANDSCAPE

  • Evdokia Kardoulaki and Matthew Parrish
  • Published: 31 July 2019
In our previous paper on data virtualisation we covered the concepts behind DV, discussed useful applications and identified the limitations of the technology. In Part 2 we share the strategies vendors have developed to mitigate those limitations and how DV can be deployed and used at scale. Download our paper to dive into the complex vendor landscape and read our checklist for organisations considering DV today.

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DATA VIRTUALISATION (DV): WHAT CAN FINANCIAL INSTITUTIONS GAIN FROM IT?

Data virtualisation (DV) is a data management solution that promotes the alignment of disparate data sources, providing strong governance without the need for persisting new stores of data. In this paper, we explain what DV is, how it differs from traditional data integration tools and what the key applications are that would benefit an organisation.


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