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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Sama

Sama provides high quality training data that powers AI technology. The company’s platform is trusted by the world’s most ambitious organizations to develop accurate machine learning models. Used by leading technology companies such as Google, NVIDIA, GM, and Walmart, Sama specializes in image, video, language, and sensor data annotation and validation for machine learning algorithms in industries including manufacturing and robotics, bio and medtech, autonomous vehicles, entertainment, e-commerce, retail, and agriculture.

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Sama

Sama provides high quality training data that powers AI technology. The company’s platform is trusted by the world’s most ambitious organizations to develop accurate machine learning models. Used by leading technology companies such as Google, NVIDIA, GM, and Walmart, Sama specializes in image, video, language, and sensor data annotation and validation for machine learning algorithms in industries including manufacturing and robotics, bio and medtech, autonomous vehicles, entertainment, e-commerce, retail, and agriculture.

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