Denodo
In its recent report “Predictions 2018: A year of reckoning”, Forrester predicts that 80% of firms affected by GDPR will not comply with the regulation by May 2018. Of those noncompliant firms, 50% will intentionally not comply.Compliance doesn’t have to be this difficult! What if you have an opportunity to facilitate GDPR compliance with a mature technology and significant cost reduction? Data virtualization is a mature, cost-effective technology that enables privacy by design to facilitate GDPR compliance.
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VMUG
Let’s explore the basics of Kubernetes clusters, including the many layers composed of both virtualization and containers that make every single cloud based Kubernetes cluster possible. We can dig into the pros and cons of both sets of tools, and consider the possibilities for the future. What would a Kubernetes cluster using only virtualization look like? What would the advantages and disadvantages be? Together we’ll wrap our heads more tightly around the technologies that are defining cloud native.
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Data lakes have grown to be a popular architecture that enables modern analytics and data science. However, complete replication of all corporate data into giant data lakes is unfeasible. Data volumes are too high, and replication to multiple systems creates brittle point-to-point connections. Out-of-synch data and uncontrolled replication leads to “data swamp” scenarios. On top of the physical data lake, a logical approach is more feasible: a logical layer that connects different systems.
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Explore how Nexthink’s Desktop Virtualization initiative can empower IT teams with the control, visibility and actionable insight needed to successfully manage their virtualization lifecycle. By correlating technical metrics with employee sentiment data, Nexthink provides employee-centric visibility to measure, manage and improve employees’ virtualization experience.
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