Dell EMC Unity: Data Reduction Analysi

January 18, 2019

Data reduction techniques such as compression and deduplication within storage arrays have been indispensable to help reduce storage consumption. Unfortunately, due to the variability of data types stored within any given storage array, data reduction savings can greatly fluctuate between environments, making it difficult for administrators to estimate storage needs. This document explores potential savings using real-world data reduction ratios on a Dell EMC™ Unity array.

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Recommind builds breakthrough software solutions that harness the power of information to solve concrete business problems. Our patented innovations at the nexus of law, big data, and predictive analytics help extract critical insights from massive volumes of unstructured data—for eDiscovery, contract analysis, and enterprise knowledge management. With a world-class professional services team across the globe, Recommind is trusted by renowned corporations (BMW, Cisco, Swiss Re), premier law firms (Clifford Chance, Morgan Lewis, White & Case), and key regulatory agencies (SEC, DOE, FINRA). Recommind is headquartered in San Francisco and has offices in New York, Boston, London, and Bonn, Germany. For more information visit www.recommind.com.

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