Simplify and Accelerate Your Geo-Distributed Analytics Platform at Scale

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Today, many organizations are running a multitude of data-driven applications and data platforms that span multiple geographic regions and across heterogeneous environments – public, private, hybrid, or multi-cloud. Further, the trend of separating compute resources from storage resources makes it easier to scale compute and storage independently, allowing organizations to keep up with new trends in data analytics and AI. In response, more organizations are modernizing their data platforms to meet their needs.