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redundancy
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∙ 13y ago
Storing the same data in more than one place is known as data replication. This practice is often employed to improve data availability, reliability, and performance in distributed systems by ensuring redundancy and minimizing the risk of data loss in case of failures. However, it can also introduce complexity in data synchronization and consistency.
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What problems will you have storing the same data in two places in the database?
Storing the same data in two places in a database can lead to data inconsistency issues, making it challenging to maintain data integrity. It increases the risk of data redundancy, which can result in higher storage costs and potential discrepancies between the duplicated data. Additionally, updating data in one place and not the other can lead to discrepancies and inconsistencies in the information stored.
Why is a database called a database?
A database is a collection of data organized in a way that allows for efficient storage, retrieval, and updating. It is called a "database" because it is a structured set of information that can be accessed and managed systematically. The term "database" highlights the ability to store and retrieve data in a structured and organized manner.
What is redundancy and inconsistency in data base management system?
Redundancy in a database occurs when the same piece of data is unnecessarily stored in multiple places, leading to inefficiency and potential data inconsistencies. Inconsistency arises when different copies of the same data do not match due to errors or failure to update all instances simultaneously, impacting data integrity and reliability. Database management systems aim to reduce redundancy and ensure consistency through normalization and transaction processing techniques.
Occurs when the same data are stored in many places?
Data duplication occurs when the same data is stored in multiple locations or systems. This can lead to inconsistencies, errors, and challenges in maintaining data integrity. Employing data normalization techniques and centralized storage systems can help reduce data duplication.
Disadvantages of data redundancy?
Data redundancy can lead to storage inefficiency, as the same information is stored multiple times. It can also increase the risk of inconsistencies or errors in the data, as updates may not be made consistently across all duplicates. Additionally, data redundancy can make data management and maintenance more complex and time-consuming.
Storing the same data in more than one place is called?
Redundancy.
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An array is used to store data having the same data type.
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this use auxiliar data structure for to work, in-place is that on the same data structure of input this sort
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A data store center
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A spreadsheet, not matter who employs it, is a digital means to store data, and often, more importantly, allows the sorting of the data depending what is required. If you wrote the same data on a piece of paper, you would have to laboriously rewrite the data to produce the separate results acquired.
How can a table be more informative than the graph with the same data?
A graph can be more useful for making presentations because it is more visual, and it can be easier to recognize a pattern in a graph for the same reason. However, a graph doesn't have any more data than a table with the same data.
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the same place humans do- in the refrigerator.
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all the children place stores sell the same products and it depends on what area where more kids live would sell more rather than more mature teens or seniors live
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arrays in C are the data types which have collection of same type of data together store a fixed-size s of elements .
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network drive is a name given to a dive that is shared on a network and the user of that network can acess the drive to store any data . But a remote storage is a technology were you store your data by the technology of web , you dont have to be on the same network to store data as it happens in the network drive.
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No. A table is the primary object used within a database to store data. A typical database will consist of many tables.
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To save space ! Compressed files occupy much less space than uncompressed files, enabling you to store more data in the same space.
