Shulou(Shulou.com)06/03 Report--

Big data is not equal to a large amount of data, nor is it equal to all data. This is a very important point to understand what big data is. Usually artificial 4V characteristics of big data: Volume (data volume), Velocity (data transmission speed), Variety (data diversity), Value (data value), is the key to understanding big data. Only the combination of the four can be integrated into big data. With the digitization of productive forces and production factors, the storage, integration and application of data are particularly important, and the value of data is also rising. It can be said that in today's big data era, who first master the data, who will gain an innate advantage.

However, the Interstellar Rubik's Cube believes that if the problems facing the big data era are not solved, then it is impossible to talk about the development of the big data era, such as the big data system in which quantity and quality cannot be compared. Big data's data source and data authenticity are difficult to determine, data "freedom", data transmission and data processing speed, and how to solve this realistic problem? Then IPFS and increasing data can solve those problems. We also learn about the new changes brought by IPFS to big data from the following points.

IPFS+ big data, Interstellar Rubik's Cube believes that decentralized storage can make the flow of data smoother, more open and free, then data integration between different departments, enterprises and even fields will be more complete. Based on the fact that each file has an independent hash value and the data can be traced back to the source, every data stored on IPFS by IPFS mining machine can be accurately recorded and saved, and the source and authenticity of the data can be clearly seen. In this way, users do not have to spend extra energy to verify the data when extracting data, and the trust mechanism of small enterprises and individuals, as well as the whole society can be improved to create a real society. IPFS, no matter from the data storage mode, or data transmission and processing speed, makes up for the shortcomings of the existing big data, and sublimates the value density of big data. From deleting repetitive and cumbersome files to the search method of content addressing, big data's economic value has been greatly enhanced.

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