Analytics in the Cloud: Getting The Most Out Of Analytics Deployments

Analytics in the cloud is becoming more popular as organizations look for ways to increase the value of their analytics investments and lower the total cost of ownership (TCO) of their analytics projects. At the same time, organizations may lack the insights required to make the business case for transitioning analytics to the cloud. By understanding the business and technical drivers of cloud analytics platforms and by evaluating the common use cases, organizations can make informed decisions and gain the buy-in they need to leverage analytics in the cloud.
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Spotlight

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Cloud Data & Analytics Tour 2021

The latest trends in modern data analytics, demonstrating an array of real use cases and showing you how to drive deep insights with action from your data. The power of Qlik’s Cloud-first environment, enabling you to rapidly deliver value from being data-driven. Smart Dublin’s interview, who rapidly achieved meaningful insights during Covid-19 using Qlik Sense SaaS.
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Telco Cloud: Drive Innovation, Success, and Profitability in the 5G Era

Networks by leveraging Digital transformation is the new imperative. CSPs worldwide are on a journey to cloudify their software-defined platforms that provide agility and efficiency, streamline operations, expand revenue opportunities, and support advanced technologies like 5G and network functions virtualization (NFV).
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What 2019 Holds for Healthcare in the Cloud with NetApp and Microsoft Azure

netapp

NetApp and Microsoft have been working together for more than two decades to provide innovative solutions that make it simpler for healthcare customers to rapidly transform their technology operations. Microsoft and NetApp recognize healthcare organizations are considering large-scale migrations to the cloud to drive agility, improve developer productivity, and leverage CapEx improvements.
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SaaS Applications in the Cloud: Cut Costs, Clone Data and Increase Agility as You Scale

netapp

Reduce costs with NetApp storage efficiency features: thin provisioning, data compression, deduplication, and data tiering.Enhance and accelerate dev/test processes with data cloning technology.Enable DevOps tools to help manage, monitor, automate and orchestrate processes and best practices across the organization.
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