Historically data lakes have been created as centralized physical data storage platform for data scientists to analyze data. But lately the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. Using Data Virtualization allows organizations to create a logical - or virtual data lake - without having to physically copy and centralize all of their data.
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A successful data virtualization initiative bridges the gap between two very different perspectives of data management: IT and business. However, most of the emphasis in these initiatives is put on the IT side, modeling, performance, security, etc. Business users are often left with a large library of data sets, hard to use and navigate.
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VMware
One of the key pillars of our VMware Cloud strategy is to form deep partnerships with major cloud providers to enable and streamline hybrid cloud adoption. Our partnership with IBM is a perfect example of this. Together we seamlessly integrate private and public cloud, and help lower the barriers to hybrid cloud adoption by delivering new solutions that help solve challenges such as workload portability, downtime, application dependency, network complexity and migration efficiency.
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The state of clinical supplies is changing rapidly as we see trials moving towards virtualization. The impact, logistics and strategy to account for these changes and challenges are what we explore on this webinar that face sponsors, sites, depots, CROs and particularly patients. Whether you are currently supporting trial virtualization or will in the future, clinical supply managers and trial clinical study teams will learn how to adapt for this evolving paradigm shift.
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