Evolving From Monolithic to Distributed Architecture Patterns in the Cloud

As data management activities are becoming more widespread in both distributed processing use cases, like IoT, and demands for new types of data, emerging roles such as data scientists or data engineers are expected to be driving the new data management requirements in the coming two years. These trends indicate that both the collection of data as well as the need to connect to data are rapidly becoming the new normal, and that the days of a single data store with all the data of interest — the enterprise data warehouse — are long gone.
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Spotlight

OTHER ON-DEMAND WEBINARS

DevOps for DevOps in the Cloud Webinar

Contino

What you’ll learn: - DevOps principles seen through both an engineering and business lens - Why leadership buy-in is critical to successful engagements - The benefits of creating high-performing teams - The target tools and services that helped facilitate the solution - How security, AWS, DevOps and business operations are all integrated to drive for sustainable digital transformation in a highly regulated organization.
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2019 Vulnerability and Threat Trends

itupdate

This webinar explores the findings of Skybox Securitys 2019 Vulnerability and Threat Trends Research Report, analyzing the vulnerabilities, exploits and threats in play over the previous year.Sivan Nir, senior analyst of the Skybox Research Lab who compiles the report, will cover: Whats driving record-breaking CVE numbers for two years in a row, and how do vulnerability management programs find the signal in the noiseWhy 2018 was the year of the cryptominer, and why this malware family holds a threat not just to your compute power but to your businessHow cloud migration, operational technology and a fragmented supply chain are expanding the attack surface - and how you can shrink it
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Tomorrow Talks: Establishing a Culture of Innovation

IDC and Oracle talk about how the culture of innovation can reshape IT’s role in driving organisational growth. They also cover the stages of innovation and when IT should become involved.
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Scale automation more easily

As IT organizations continue to automate for increased productivity and a competitive edge, the focus shifts from "just" automating to expanding, scaling, and optimizing automation.
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