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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, in the form of individual users and businesses have utilized features of the cloud. Flash storage capacity hasn’t just evolved in size, but instead exploded. On a greater landscape, we often don’t even notice some incremental advancements in technology. While some changes cause such a large shift that we can’t help but notice them. Here are 5 trends in data storage technology that you wouldn’t want to miss:


Intelligent storage is a complete mix of the fields of big data, analytics and the Internet of Things (IoT). Users not only want quantitative features of data storage, but smart storage that utilizes built-in analytics. If there is an area or type of storage that is underutilized, storage intelligence can redirect resources and flag the issues before they elevate and cause bigger problems that harm basic function of the storage.


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 which are recognized, including public, private and hybrid. Using cloud storage, you want to avoid any kind of downtime due to failure. By making use of a hybrid approach, you avoid the risk that comes with such kinds of storage.


By still sticking to the theme of expecting more from our data storage options, there are features like artificial intelligence and machine learning which have been underutilized along with providing data storage. By the application of 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 process.




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 amount of time it would take for recovery of the said 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 a rapid evolution in data storage, specialists wonder if there will be a demand for hard drives and on-sight data storage options in the future. Despite 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 result in elimination of storage options but more effective and efficient use of the storage that is available for you.

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