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Trends in data storage technology have progressed at an incredible pace over the last few years. A major portion of the industry has utilized cloud features in the form of individual users and businesses. Flash storage capacity hasn’t just evolved in size but instead exploded. We often don’t even notice incremental technological advancements on a greater landscape. Simultaneously, some changes cause such a large shift that we can’t help but notice them. Here are five trends in data storage technology that you wouldn’t want to miss:


Intelligent storage combines big data, analytics, and the Internet of Things (IoT). Users want quantitative data storage features and smart storage that utilizes built-in analytics. Suppose there is an area or type of underutilized storage. In that case, storage intelligence can redirect resources and flag the issues before they elevate and cause bigger problems that harm the basic function of the warehouse.



After adopting the cloud, businesses often wonder what to do next. The best thing to do then is to move to other cloud services. By sharing data across multiple cloud services, you can maximize the benefits of data computing while at the same time minimizing the risk of data loss. There are distinct benefits of different cloud services that are recognized, including public, private, and hybrid. Using cloud storage, you want to avoid any downtime due to failure. Using a hybrid approach, you avoid the risk of such storage.


By still sticking to the theme of expecting more from our data storage options, features like artificial intelligence and machine learning have been underutilized along with providing data storage. By applying machine learning, storage management processes could run optimization, proactively identify potential problems, and manage the workload of large data centers at a minimal cost compared to the current ways of operation.



As it is important for businesses to select the best data storage for their needs, they are considering recovery point objectives (RPOs) and recovery time objectives (RTOs). RPO is specified by how much data a business can afford to lose due to failure. RTO is defined by the maximum time it would take to recover the data. The demand is currently set at 0 RTO. There is a want and need for the storage to be back up and running immediately after its failure. Practically speaking, it is impossible to achieve 0 RTO. Businesses should then demand data storage solutions that get them as close as possible to it. As there is tense competition between services that provide data storage, it is okay to expect more zero-tolerance solutions available in the market.


By witnessing such rapid evolution in data storage, specialists wonder if there will be a demand for hard drives and on-site data storage options. Despite the growth of the cloud and data analytics that reallocate data storage, there is a significant need for high-capacity, reliable, and high-performance. With trends like intelligent storage and machine learning setting in, they will not eliminate storage options but more effective and efficient use of the available storage.

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