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Top 3 Predictions For Data Storage in 2019

Do you know that each moment you take a nap, there are some IT experts somewhere spending sleepless nights, trying to come up with new data storage techniques and advancements? Now you know! Here are some of the data storage predictions in 2019:

  1. Substitution of Proof-of-Work protocol by Proof-of Stake

This is one of the milestone discovery in blockchain projects as we speak. The PoW which had a countless number of faults will now be substituted by PoS. PoS is more superior as it comes with features of being more ecological and inclusive. For it to compose a block, it doesn’t need complex calculations that constitutes mining. In addition, it makes it possible for more people to act as hosting providers. Not forgetting its ability to significantly reduce the cost of energy.

  1. Maas data management.

With current trends on decentralizing data storage, data management is becoming a key issue. On-premises data storage is becoming obsolete and hence various organizations are now opting for advanced hybrid databases and architectures. You can predict the need for a MaaS additional option for data arrays to be in greatest demand. This is because it will relieve customers from the burden of maintaining their on-premise software for data management. This goes hand in hand with what is always demonstrated by numerous blockchain- based information storage.

  1. Functional consolidation.

Customers are in dire need of a full pack solution that seeks to do away with costs of system integration, software licensing and expensive on both the administration system and support staff. In addition to providing better features such as enhanced encryption, data packaging introduces a data storage medium that is decentralized. This serves to make use of the latest existing technologies which may include neural network and machine learning. Since the majority of the projects are still undergoing development stages, it will be more convenient for them to look into the recent algorithms that have an effect on conceiving fresh storage management processes. I look forward to companies specializing in delocalized storages to bring forth solutions that are of machine -learning nature into the market.

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