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What are the "5Vs" of big data technology?

Big Data technologies are characterized by the "5Vs": Volume, Variety, Velocity, Accuracy, Value. In The Age of Big Data by Viktor Mayer Sch?nberg and Kenneth Kukier Big Data refers to the use of all data for analysis and processing without shortcuts such as random analysis (sampling).

Big data, or huge data, refers to information that is so large in size that it cannot be captured, managed, processed, and organized in a reasonable amount of time by mainstream software tools for the purpose of helping businesses make more positive decisions.

Practical significance:

Nowadays society is a high-speed development of the society, advanced technology, information flow, people's communication is getting closer and closer, life is getting more and more convenient, big data is the product of this high-tech era. Alibaba founder Jack Ma mentioned in his speech in Taiwan that the future era will not be the IT era, but the era of DT, which is Data Technology, showing that big data is pivotal to Alibaba Group.

Some people compare data to a coal mine that contains energy. Coal according to the nature of coking coal, anthracite, fat coal, poor coal and other classifications, and open-pit coal mines, deep mountain coal mines and different mining costs. Similarly, big data is not "big", but "useful". The value content and mining cost are more important than the quantity. For many industries, how to utilize this large-scale data is the key to winning the competition.

Reference: Baidu Encyclopedia-Big Data