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19 Nov 2020Ended

Enterprise Data and Analytics in the Cloud

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upto 100
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19 Nov 2020

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This presentation will discuss the challenges in migrating analytics workloads to the cloud along with a review of cloud-native principles and .. Read more implementation best practices from Talend's customers' experiences with the Talend Cloud on Microsoft Azure. The emergence of the cloud as a cost-effective solution to delivering compute power has caused a paradigm shift in how we approach designing, building, and delivering analytics to business users. Although forklifting an existing analytics environment into the cloud is possible, there’s substantial benefit for those that are willing to review and adjust their systems to capitalize on the strengths of the cloud. However, the architecture of the cloud (with dynamically scalable processing engines, automated system monitoring, and concurrent support for multiple database engines) allows developers to approach system design and software development activities in a more streamlined and cost-effective manner. The cloud’s architecture and advanced functionality reduces the time-to-delivery while simplifying the management and delivery of new analytics solutions. The only obstacle is the developer’s desire to utilize these advanced features. This presentation will discuss the challenges in migrating analytics workloads to the cloud along with a review of cloud-native principles and implementation best practices from Talend’s customers’ experiences with the Talend Cloud on Microsoft Azure.

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