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In this on-demand webinar, we look at how a modern data architecture can help data scientists to be faster and to work more efficiently.
Learn more about us as a company, our strong partner ecosystem and our career opportunities.
How we achieve data security and transparency
Data scientists are confronted with some major challenges: a fast-changing data storage technology landscape, new restrictive regulations for data privacy, and time-consuming data preparation tasks. In fact, studies have shown that data scientists spend only 20% of their time on real analytical work and as much as 80% of their time on data preparation tasks. In this webinar, we look at how a modern data architecture can help data scientists to be faster and to work more efficiently.
CEO & Founder, R20/Consultancy
CEO & Founder, Data Virtuality
In this whitepaper, Rick van der Lans explains how a modern data architecture can help data scientists to be faster and to work more efficiently.
This whitepaper describes best practices for orchestrating Hybrid- and Multi-Cloud architectures and how Data Virtuality can enable these.
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Our mission is to enable businesses to leverage the full potential of their data by providing a single source of truth platform to connect and manage all data.