Deploying Data Analytics in the Cloud

| November 16, 2018

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Your on-premises data analytics platform works great. So, why move it to the cloud? According to Gartner, by 2025, 55 percent of large enterprises will successfully implement an all-in cloud SaaS strategy. Whether you plan to use a managed analytics platform like TIBCO Spotfire running on AWS or Azure, or are planning to administer it yourself, there are many benefits: Improved cost efficiency – Cloud computing reduces or eliminates the need for businesses to purchase equipment and build out and operate data centers. This presents significant savings on hardware, facilities, utilities, and other expenses required from traditional computing. Also, reducing the need for on-site servers can trim the IT budget even further.

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Circonus

Circonus provides Big Data analytics and monitoring for Web-Scale IT. Developed specifically for the requirements of DevOps, the Circonus platform delivers alerts, graphs, dashboards and machine-learning intelligence that help to optimize not just your operations, but also your business. Proprietary Big Data technology and IT Operations Analytics tools enable Circonus to provide forensic, predictive, and automated analytics capabilities that no other product can match, and at a scale that other products can only dream of...

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