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

The process of data management mainly includes: data conversion, data association, data enrichment, data operation and data retention.

Data conversion is the transformation of data from one form to another, through the change of form to make the data more convenient for analysis and use. For example, the original data imported in the data acquisition phase needs to be converted from a string type to a floating point type, so as to facilitate the summation of the data item. In addition, data conversion may also be carried out because of data format problems, such as semi-structured data such as web pages. In order to search the data in the web pages, it is often necessary to extract and make tags from the key data in the web pages, and then take the tags as retrieval items, so that there is no need to retrieve the whole web page, so as to improve the retrieval efficiency.

Data association is to associate multiple scattered data sources together with association attributes as needed, just like concatenating multiple data with a rope, in order to facilitate the positioning of the required data and facilitate data statistics from multiple dimensions. For example, identity number, mobile phone number, terminal device number, network code and so on can be used as foreign keys for data association, and multiple data tables can be constructed according to the needs of analysis to achieve data association.

The principle of paradigm can improve the flexibility of operational data model to respond to business requirements and reduce data redundancy, while analytical data model hopes to form a multi-topic-oriented data model through data association. The topic-oriented data model is closer to the needs of users, which is convenient for multi-dimensional analysis and presentation of data.

Data enrichment is also a way to improve data to meet business needs, such as having a student, such as

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