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Why Companies Are Moving Their Analytics to Oracle Cloud

Datavail

More and more organizations are moving their analytics to the cloud—and Oracle is one of the most popular destinations. In a November 2020 ranking by Cloud Wars, Oracle was the second fastest-growing cloud vendor with an estimated quarterly revenue growth of 33 percent, behind only Google Cloud.

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5 Technical Reasons for a Cloud Analytics Migration

Datavail

In this article, we’ll explore 5 very good motivations for your company to do a technical refresh by moving to cloud analytics. Agility and scalability. Traditional on-premises analytics infrastructure is limited in terms of the agility and scalability that you can achieve. Contact an Expert ».

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10 Easy Steps to Migrate Workload to a New GKE Node Pool

Cloud That

Step 2: Activate Cloud Shell. To authenticate your access to the Google Cloud Shell, Client on the cloud Shell icon, once open you can run the mentioned command to authenticate your access to the environment. Our blogs, webinars, case studies, and white papers enable all the stakeholders in the cloud computing sphere.

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10 Easy Steps to Migrate Workload to a New GKE Node Pool

Cloud That

Step 2: Activate Cloud Shell. To authenticate your access to the Google Cloud Shell, Client on the cloud Shell icon, once open you can run the mentioned command to authenticate your access to the environment. Our blogs, webinars, case studies, and white papers enable all the stakeholders in the cloud computing sphere.

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The Good and the Bad of Apache Kafka Streaming Platform

Altexsoft

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Scalability. Scalability is one of Kafka’s key selling points. A single cluster can span across multiple data centers and cloud facilities. The way Kafka treats clients also contributes to the overall system’s scalability.

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Regeneron turns to IT to accelerate drug discovery

CIO

The company’s multicloud infrastructure has since expanded to include Microsoft Azure for business applications and Google Cloud Platform to provide its scientists with a greater array of options for experimentation. Google created some very interesting algorithms and tools that are available in AWS,” McCowan says.