这是大数据最直观的特征，也是大数据区别于传统数据的基础特征。腾讯集团的

This is the most intuitive feature of big data and the basic feature that distinguishes big data from traditional data. Tencent Group has more than 800 million users, including more than 400 million mobile Internet users. Tencent’s data center only uses more than 4,000 blade clusters for data storage. The total data volume after compression processing still exceeds 100PB, and the newly generated data is increasing by about 300TB per day, 10% per month. In the era of big data, with the advancement of technology and the reduction of hardware prices, bandwidth has become cheaper and cheaper, and data has gradually approached exponential growth. When dealing with big police data, whether it is DNA feature comparison or real-time fingerprint query, traditional algorithms and ordinary computing capabilities are unable to perform detailed real-time query and comparison of detailed details in the face of more than one billion people with super-massive complex data. With such a large amount of data, traditional computing theories and ordinary computing capabilities have long exceeded the capability boundary. Due to their high cost, large-scale computers cannot be widely used. This requires that both algorithms and data processing ideas are objectively New theories, tools and solutions must be proposed.

This is the most intuitive feature of big data and the underlying feature of big data that distinguishes it from traditional data. Tencent Group has more than 800 million users, of which more than 400 million mobile Internet users, Tencent's data center alone for the storage of data blade group has been more than 4,000, the total amount of data after compression, still more than 100pb, and the newly generated data is still growing at about 300 TB per day, 10% per month at a rate of growth. In the age of big data, with advances in technology, lower hardware prices, cheaper bandwidth, and data is getting closer to exponential growth. When dealing with police big data, whether it is in DNA characteristics ratio, or fingerprint real-time query, in the face of more than a billion people super-large amount of complex data, traditional algorithms and ordinary computing power can not do fine detail real-time query matching. Such a large amount of data, with traditional computing theory and ordinary computing power, has already exceeded the boundary of capacity, mainfly computer because of its high cost, can not be widely used, which requires that both algorithms, or data processing ideas in an objective manner must put forward new theories, tools and solutions.

This is not only the most intuitive feature of big data, but also the basic feature that distinguishes big data from traditional data. Tencent group has more than 800 million users, including more than 400 million mobile Internet users. Tencent's data center has more than 4000 blade machines only used to store data. After compression, the total amount of data is still more than 100pb. Moreover, the newly generated data is still increasing by about 300tb per day and 10% per month. In the era of big data, with the progress of technology and the reduction of hardware price, bandwidth becomes cheaper and cheaper, and data has gradually approached exponential growth. When dealing with police big data, whether in DNA feature comparison or fingerprint real-time query, in the face of huge complex data of more than one billion people, traditional algorithms and ordinary computing power can not do fine details real-time query and comparison. Such a large amount of data, with the traditional computing theory and ordinary computing power, has already exceeded the capacity boundary. Due to the high cost of large-scale computer, it is impossible to widely use, which requires that both algorithms and data processing ideas must objectively put forward new theories, tools and solutions.<BR>