How to avoid data redundancy?

Methods to avoid data redundancy: 1. Repeated storage or transmission of data to prevent data loss; 2. Data redundancy caused by simplifying the process; 3. Putting the same data in different locations to speed up the processing. Location storage; 4. Redundancy for other purposes.

Data redundancy refers to the duplication between data. It can also be said that the same data is stored in different data files. It can be said that increasing data independence and reducing data redundancy are prerequisites for the success of enterprise-wide information resource management and large-scale information systems.

Data redundancy is adopted for certain purposes in data applications.

1. Repeated storage or transmission of data to prevent data loss.

2. Redundant coding of data to prevent data loss and errors, and provide the function of inverse transformation of erroneous data to obtain original data.

3. Data redundancy caused by simplifying the process. For example, sending the same information to multiple destinations and storing the same information in multiple locations without analyzing the data reduces workload.

4. To speed up the processing process, store the same data in different locations. For example, different contents of the same information can be processed in parallel, or the same information can be processed in different ways.

5. To facilitate processing, the same information has different forms of expression in different locations. For example, versions of a book in different languages.

6. Indexes for large amounts of data are generally used in databases. The purpose is similar to point 4.

7. Information redundancy in methods: For example, every driver must remember basic traffic information in the same city; a large number of personal computers have similar operating systems or software installed.

8. Redundant data for completeness. For example, there are many words in the dictionary, but we only query a few of them. Software has many functions, but we only use some of them.

9. Regular redundancy. Conducted in accordance with laws, systems, rules and other constraints. For example, there are a lot of patterned contents in the contract.

10. Redundancy to achieve other purposes. For example, repeating information to gain attention, etc.

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