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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.
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How we achieve data security and transparency
Built on first-hand experience with data integration challenges, Data Virtuality offers an all-in-one solution to simplify data access and usage. We aim to remove technical barriers, empowering data users with our comprehensive Data OS approach. Given the rising complexity and expanding user base, it’s essential to adopt a Data OS mindset, going beyond mere middleware or platforms.
Despite two decades of digitalization, companies still struggle to be data-driven. Conventional methods, mainly acting as middleware, come with limitations that increase both complexity and cost. Our position paper outlines how Data OS addresses these challenges, from data accessibility and usability to DataOps capabilities and the growing role of business technologists.
The paper also discusses how Data OS complements other key concepts like Data Mesh and Data Fabric, offering a well-rounded perspective on data management and integration.
With the increasing popularity of cloud computing offers, the different *aaS models have become blurrier, partially even misused by vendors – creating confusion.
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.
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Katharinenstrasse 15 | 04109 | Germany
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Trimburgstraße 2 | 81249 | Germany
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2261 Market Street #4788 | CA 94114 | USA
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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.