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Data redundancy: Data that is duplicated in a data set is referred to as data redundancy.
Purpose of data redundancy:
Data is used in the application of data in a way that is used for some purpose.
1. Duplicate storage or transmission of data to prevent data loss.
2. Redundant coding of data to prevent data loss and error, and provide the function of inverse transformation of wrong data to obtain original data.
3. Data redundancy caused by simplifying the process. For example, sending the same information to multiple purposes, storing the same information in multiple locations, and reducing the workload by not analyzing the data.
4. Store the same data in different locations in order to speed up the processing process. For example, processing different contents of the same information in parallel, or processing the same information in different ways, etc.
5. For the convenience of processing, the same information has different manifestations in different places. For example, the different language versions of a book.
6. Indexing of a large amount of data. It is generally used frequently in databases. Its purpose is similar to point 4.
7. Method information redundancy: for example, each driver must remember the basic traffic information of the same city; A large number of PCs have similar operating systems or software installed.
8. Redundant data for completeness. For example, there are many words in the dictionary, but we only look up a few of them. The software has a lot of features, but we only use some of them.
9. Regular redundancy. It is carried out in accordance with laws, systems, rules, and other constraints. For example, there is a lot of patterned content in the contract.
10. Redundancy for other purposes. For example, repeating information to be valued, and so on.
Data redundancy or information redundancy is an inevitable behavior in production and life, and there is no overall tendency of good or bad.
For the natural world, it is a form of material existence, an objective existence situation. For example, everyone has essentially the same genes as everyone else.
Data redundancy refers to the duplication of data between data, or the phenomenon of the same data being 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.
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Do you know what data redundancy is? If you knew the definition, you wouldn't be asking that.
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In communication engineering, redundancy refers to the repetitive configuration of some key components or functions due to considerations such as system security and reliability. When a system fails, such as a piece of equipment is damaged, redundant components can be used as a backup to intervene in time and undertake the work of the faulty parts, thereby reducing the downtime of the system. Redundancy is especially useful for emergency response.
Redundancy can exist at different levels, such as network redundancy, server redundancy, disk redundancy, data redundancy, etc.
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Redundant duplication or verbosity (including information, language, structure, services, software, hardware, etc.) is called redundancy.
Redundancy has two meanings, the first meaning refers to the redundant unwanted part, and the second meaning refers to the artificially increased duplication of the part, the purpose of which is to be used to back up the original single part, in order to enhance its security, which has a wide range of applications in information and communication systems.
Redundancy is a Chinese word, pinyin is rǒngyú, and in English it is redundancyredundance.
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Dictionary Explanation: Superfluous repetition or verbosity.
Key words: 1. Redundant:
In excess of what is needed: Sell the surplus food to the state.
2. Repetition: The same thing appears again.
It is said that the mountains and rivers are restored.
By extension, it means distant.
Reinstated. Antonym: streamlinedDictionary Explanation: Remove the unnecessary, leave the necessary: streamlined and economical; streamlining institutions; Keep your content down.
Key words: 1. Remove:
Get rid of it; Get rid of yourself. For example, you have your choices, and it's time for you to get rid of your whimsical ideas.
Abandon; **。Such as: remove the shortcomings.
2. Necessary: indispensable; Criticism and self-criticism are necessary; The interests of the individual can be sacrificed when necessary for the good of the collective.
3. Saving: saving (mostly used for a larger range): increasing production and saving; Save time.
4. Stay: It means putting things down.
Keep it. Take it down.
Refers to paying to buy.
Stay and take it.
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Redundant design, also known as redundancy design technology, refers to adding more than one set of functional channels, working components or components that complete the same function in places where the system or equipment plays a key role in completing the task, so as to ensure that when the part fails, the system or equipment can still work normally, reduce the failure probability of the system or equipment, and improve the reliability of the system.
In some applications with high requirements for system reliability, DCS needs to consider hot backup, that is, system redundancy, which means that some key modules or networks in the system have one or more backups in the design, and when there is a problem with the working part, the system can be automatically switched to the backup through special software or hardware, so as to ensure the uninterrupted work of the system.
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Unnecessary repetition or verbosity.
Redundancy refers to redundant repetitive or verbose content, including information, language, etc. In Chinese, the word "redundant" originally means idle, and by extension, it means idle, redundant and useless, and also refers to discrete and scattered around; The original meaning of the word "yu" is me, and by extension, it refers to "what is left, what is surplus", and also refers to "after". In the Chinese Yebeizhen language disease, the popular term for redundancy is "redundant ingredients."
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Redundant paraphrasing: redundant repetition or wordiness.
Chinese Language Disease: In Chinese language disease, the popular term for redundancy is "redundant components". There are two cases of redundant ingredients:
One is that there are redundant elements in the sentence, and the meaning is still clearly expressed, for example: there are old masters here, young young apprentices. With "young", there is no need to say "young". This is what is commonly referred to as repetition.
The other is that there are some elements in the sentence that cannot be there at all, so the meaning is not clear and difficult to understand. This redundancy is further divided into redundant subject components, redundant predicate components, redundant object components, redundant predicates, adverbial redundant prenucleus, complement redundant, etc.
Data redundancy: Data redundancy in a database roughly means duplicate data and waste space.
For example, if there are two tables in a database, and one table has a field to store a person's **, if ** is stored again in the second table, it is a typical data redundancy. In fact, when we describe an object, the object has many properties.
When you use a database to store these attributes, you should put them appropriately in a specific table in the database. When a table is designed, there is less data redundancy.
For example, if you describe a student's attributes, there are some basic information and grade information, etc., so that the basic information and grade information should be divided into two tables and stored separately, otherwise when you view the basic information, the grade information will be redundant, affecting performance and wasting time.
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1. Redundancy, pinyin is rǒng yú.
2. Redundancy means redundant repetitive or wordy content (including information, language, **, etc.).
3. In Chinese language diseases, the popular name for redundancy is "redundant ingredients". There are two cases of redundant ingredients:
One is that there are redundant elements in the sentence, but the meaning is still clearly expressed, for example: there are old masters and young apprentices here. With "young", there is no need to say "young". This is what is commonly referred to as repetition.
The other is that there are some more elements in the sentence that cannot be there at all, so the meaning does not make sense, and it is difficult to understand. This kind of redundancy is divided into redundant subject components, predicate components redundant, object components redundant, definite redundant, adverbial redundant, complement redundant, etc.
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