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September 21st, 2022 03:00
Knowledge Sharing Article September Edition : Data Reduction Demystified
Hello Learners,
We all are aware that increasing amounts of data are created by applications daily andwith no signs of slowing.
According to IDC, data creation leaped forward in 2020 thanks to the COVID-19 pandemic. From 2020 to 2025, IDC forecasts new data creation will grow at a compound annual growth rate (CAGR) of 23%, resulting in approximately 175ZB of data creation by 2025. Ensuring that data is saved efficiently and effectively helps reduce overall solution data cost and resource consumption. Data efficiency not only reduces the amount of data that is stored but also reduces the physical capacity that is required to store the data. Reducing the footprint of the system can also lead to floor space, rack, power, and cooling savings. Virtually all modern storage arrays include some type of data efficiency method to help reduce the total space that is consumed by storage resources created. These methods include compression, deduplication, as well as other inherent efficiencies from snapshots, thin clones, and thin provisioning. To better educate and enable our pre-sales engineers, partners, and even our customers, this article will explain in an agnostic and product-specific manner why data reduction ratio (DRR) matters, the technology, mechanics, the math, behind it, and most importantly some best practices and examples on how to determine what DRR should be used when sizing a solution. Rather than using a “guesstimate” or “off the shelf” guarantee, knowing what a likely DRR will be should mitigate creating mid-sized configurations which in turn can affect the cost, confidence, customer satisfaction, and the need for post-sales remediation.
Authors John Powell, Ayyaswamy Thangavel, Mark Elliott of Dell Technologies explains in an agnostic and product-specific manner why DRR matters, the technology, mechanics, and math behind it, along with best practices and examples on how to determine what DRR should be used when sizing a solution.