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10 Good Reasons: NetApp for Analytics

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10 Good Reasons: NetApp for Analytics

  1. 1. RECEIVE FULL FLEXIBILITY & SCALING 01 03 04 05 06 07 08 09 10 02 +50% QUICK DECISION-MAKING INTEGRATE SEAMLESSLY TO THE CLOUD Avoid copying the same data multiple times. NetApp solutions for big data analytics let you maintain performance at 33% less storage overhead. Freely move data across heterogenous storage tiers based on its age or usage allowing efficient utilization of infrastructure. Enjoy 50% faster access to data with consistent performance in NoSQL environments. INCREASE EFFICIENCY REDUCE COSTS Run your analytics on premises or in the cloud without worrying about where your data sits with NetApp Data Fabric. Our technologies are certified for all of the leading analytics platforms (e.g. Splunk, Hadoop, MongoDB). Achieve huge operational advantages by non-disruptively modifying the compute layer at will and scaling storage and compute independently. Significantly improve data reconstruction times with 500% less performance impact during recovery. Benefit from a one-stop shop and achieve faster project implementations. Technical reports guide through the process. SPEED-UP IMPLEMENTATIONS INCREASE ROI Benefit from a range of services that help advise, assess, implement and optimize your infrastructure to ensure its optimum setup, health and performance. DEPLOY WITH CONFIDENCE ENTERPRISE-GRADE SERVICES & SUPPORT ENJOY IN-PLACE ANALYTICS Avoid moving massive amounts of data. Have it analyzed in-place with NetApp Hadoop NFS Connector. GOOD REASONS NetApp for Analytics 10