The Software-Defined Data Center: A Foundation for Digital Transformation

As reported in Forbes last year, 73% of companies are planning to move to a fully software-defined data center within two years. A software-defined data center is based on a virtualized environment of compute, storage, networking and security in conjunction with policy-based management and automation. The evolution from a traditional data center architecture to one that is software-defined can take months if not years but can yield immense benefits for the business. Join us for a discussion on the progress toward the fully software-defined data center, including benefits of infrastructure as code and overcoming challenges associated with traditional workflows.
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Spotlight

OTHER ON-DEMAND WEBINARS

DataOps and Cloud Data Ecosystems: Overcoming the 3 Biggest Hurdles

The cloud is changing the way we use data and at the same time, the way we use data is changing the cloud. Organizations are adopting multiple cloud data platforms to maximize data’s value, but in doing so are often increasing complexity for data engineering and DataOps teams that may stifle the very reason for investing in those platforms.
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How Data Governance Helped Genworth Financial to See Data as an Asset

One of the biggest misunderstandings about data governance? An assumption that you need data governance only because you’re working with inherently low-quality or low-value data. The data governance team at Genworth Financial focused on changing the way the organization thinks about governance in order to improve how it captures, stores, transforms, analyzes, and presents data—which in turn unlocked their data’s full value.
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Approaching Data Management Technologies

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Our architecturally solid stool requires three legs: people, process, and technologies. This webinar looks at the most misunderstood of these three components: technology. While most organizations begin with technologies, it turns out that technologies are the last component that should be considered. This webinar will survey a range of Data Management technologies that can be used to increase the productivity of Data Management efforts.
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Reducing Costs and Increasing the Value of Data Governance

It’s a real economic jungle out there. Budgets might be getting cut, but you can cut through the jungle with self-service help across your teams. Get help! Daniel Petzold, Senior Product Marketing Manager, will serve as your guide to help you reduce IT workloads and costs for distributed data access and governance—agile, cost-efficient self-service across your teams.
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