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Process Large Data Sets with Small Budgets using Microsoft Azure Cloud

< 1 MINUTE READ

Large upfront costs can severely limit the scope and scalability of important projects.

With major research institutes that work on projects where substantial volumes of data need to be analyzed, the investment in computing infrastructure for data processing can be a major concern. They need a solution that can ensure the proper scalability of research projects and eliminate the inefficiencies of having to constantly update, upgrade, or downscale on-site servers to address the data needs of specific projects. Fortunately, cloud computing is having an enormous impact on how research is done across the globe.

Watch this video to learn how the elasticity and scalability of Microsoft Azure has allowed genome researchers at Australian National University to access only the computational resources they need while delivering results faster than ever before.

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Qusai Poonawalla

For over 18+ years, Qusai has been leading a team of passionate technology experts dedicated to helping small & mid-sized businesses leverage the power of cutting-edge technology to achieve High Performance & Exponential Growth.

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