The requirement to be able to store and interpret data has grown tremendously during the previous century. The necessity for efficient data storage and processing systems became apparent as governments began to keep better track of citizen records and papers. The Internet-of-Things and the internet, on the other hand, have amplified this demand by a factor of a thousand. As data creation grew at an exponential rate, businesses sought to scale up their big data capabilities, including storage.
The ability to handle massive volumes of data and expand to keep up with growth are two fundamental characteristics of Storage in Big Data. The ultimate Storage in Big Data system would be able to store an almost endless quantity of information. It would be able to manage high rates of random write and read access, be flexible and efficient in dealing with a variety of data models, support both structured and unstructured data, and only operate with encrypted data for privacy. Another critical feature for every organization is data encryption and protection. It's easy to believe that data within an organization is private and safe. Cyber-attacks and hacks, on the other hand, are common.
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