The Data Feedback Loop: Using Big Data to Enhance Data Storage

Benchmarks are useful for comparing data storage arrays, but they don’t necessarily relate to how consumers utilize the product in the field. The best way to truly understand how arrays perform across the full breadth of use cases is through combined analysis of configuration elements, log events, and sensor data. These analyses can enhance all aspects of product monitoring and operation, including (but not limited to) performing health checks, modeling storage needs, and providing performance tuning. Here I will discuss both the benefits and challenges of ingesting, maintaining, and analyzing the volume, variety, velocity, and veracity of big data associated with storage arrays.

Learning Objectives

Gain insight into how customers use data storage arrays in real-life situations
Recognize how the data science/engineering feedback loop improves array technology
Understand the challenges associated with big data from storage arrays
Demonstrate the importance of data curation from product inception
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