Most enterprises looking to digitally transform for agility and resiliency, as well as support future business applications, will need to deploy a hybrid digital infrastructure. As organizations move rapidly to the cloud and deliver services consumed at or near the edge (e.g., AI, IoT or big data) they also need high performance, security, choice, and access to applications anywhere they do business globally.
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As companies shift their Big Data to the cloud and hybrid environments, the need for Big Data analytics and a corresponding long-term analytics strategy has become increasingly critical. Here’s your opportunity to listen to experienced Big Data practitioners articulate their best practices in building successful, long term analytics architectures.
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Hybrid cloud security is a hot topic, especially with the massive growth of public cloud providers like AWS, Microsoft Azure, and Google Cloud. Security professionals are constantly being challenged to evolve their security practices to adapt to this new architecture.
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The constant risk of security breaches is driving DevOps and cloud teams to embrace a zero-trust approach to security. It’s critical to lock down your environment, but at the same time you don’t want to break existing applications and workflows.
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