Difference between big data and ordinary data

Big data is a large collection of ordinary data. Big data is a collection of data that cannot be captured, managed and processed with conventional software tools within a certain timeframe, and it is a massive, high-growth, and diverse information asset that requires a new processing model to have stronger decision-making, insight discovery, and process optimization capabilities.

The significance of big data:

Nowadays, society is a high-speed development of society, advanced technology, information flow, people are communicating more and more closely with each other, and life is becoming more and more convenient, big data is the product of this high-tech era. Alibaba's founder, Jack Ma, mentioned in his speech 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 the cost of excavation is not the same. Similarly, big data is not big, but useful. Value content and mining cost are more important than quantity. For many industries, how to utilize this large-scale data is the key to winning the competition.