• Dell EMC Storage for Data Analytics

    Intel® Xeon® Scalable Processors‎

    • Realize your data-first strategy with modern data analytics infrastructure.

      Deliver deeper insights with flexible, scalable, enterprise data analytics solutions that bridge structured and unstructured data. Discover how we enable solutions for algorithmic trading, AI, DL, Hadoop®, Internet of Things (IoT), Splunk®, streaming apps and more. 

    • Realize the future of data analytics with Dell EMC Storage

      • All-Flash throughput accelerates iterative model development
      • Enterprise grade features deliver out of the box compliance and resiliency
      • Industry leading storage efficiency allows endless scale
      • Single analytics solution for both real-time and batch analysis

    • Realize the future of data analytics with Dell EMC

    • Dell EMC storage, the ideal platforms for data analytics at scale, deliver high performance and extreme concurrency at scale while enabling simple, efficient solutions which accelerate cycles of learning by bridging historical and real-time databases while conforming to regulatory standards and guaranteeing enterprise data protection.

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      Agile and flexible
      Consolidate, manage and analyze all your data in one place with multi-protocol support that lets you deploy a wide range of data analytics applications.

      Unbounded scale
      Seamlessly scale data volume and concurrency in your data analytics platform to support exploding data analytics growth while optimizing server costs.

      Extreme performance
      Eliminate the I/O bottleneck to accelerate time-to-insight and improve accuracy with analytics based on deeper data sets.

      Simplified data management
      Minimize your business risk and lifecycle management costs of large-scale data analytics with enterprise-grade security, data protection and data management.

    • Modernize your data analytics infrastructure and stay ahead of your competition

      Accelerate innovation with All-Flash performance to expedite model training cycles; Improve data science productivity with flexible in-place analytics and pre-validated solutions for faster, lower risk deployments; Increase model accuracy with higher resolution data sets; And, run simple scale-out deployments starting small and independently scale-out compute and storage for large scale deployments.

    • RESOURCES

      Storage for Data Analytics Resources

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