Large data classification system

Abstract

The invention discloses a large data classification system. The large data classification system is formed by sequentially connecting a data source, a data classification unit, a data numbering unit and a cloud database, wherein the data numbering unit further comprises data position numbering, data time numbering and data capacity numbering, the data classification unit effectively classifies data of the data source, the data numbering unit is used for classifying data positions, data time and data capacity of the same-type data in different classifications, the classifications are stored in the cloud database, classified storage of a tree-shaped classification structure is achieved, the data needing to be processed are greatly reduced, the data can be classified rapidly and accurately in a short time, and therefore the executing efficiency of a data classification process is effectively improved, complexity of related data management is reduced, and computation load of the system is also relieved.

Description

technical field [0001] The invention relates to a big data classification system. Background technique [0002] With the rapid development of computer technology, the data in all walks of life is growing geometrically. These data come from various sources, ranging from sensors collecting weather conditions, digital pictures, and online video data, to online shopping transaction records, and mobile phone GPS signals. With the rapid expansion of data scale, the amount of data accumulated in various industries has become larger and larger, with more and more data types and more complex data structures, which have surpassed the capabilities of traditional data classification systems and processing models. Row database systems have been difficult to adapt to the rapid growth of application requirements, showing obvious lack of capacity in production practice, unable to meet the data classification requirements in the era of big data. Contents of the invention [0003] The tec...

AI Technical Summary

Problems solved by technology

With the rapid expansion of data scale, the amount of data accumulated in various industries has become larger and larger, with more and more data types and more complex data structures, which have surpassed the capabilities of traditional data classification systems and processing models. Row database systems have been difficult to adapt to the rapid growth of application requirements, showing obvious lack of capacity in production practice, unable to meet the data classification requirements in the era of big data

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