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What is the difference between normalization and denormalization?
Normalizing data means eliminating redundant information from a table and organizing the data so that future changes to the table are easier. Denormalization means allowing redundancy in a table. The main benefit of denormalization is improved performance with simplified data retrieval and manipulation.
What is the purpose of denormalization?
Denormalization is done to increase the read performance of a database by reducing the number of joins needed to retrieve data. It involves duplicating data across tables to minimize the need for complex joins, which can result in faster query processing. However, denormalization can lead to data redundancy and potential data inconsistency risks.
What normalisation is used in IEEE 754 format?
none, it uses denormalization.
When do you perform denormalization?
Generally to optimize the performance of select query. To minimize joins used in the query.
What is the conflict between design efficiency information requirements and processing speed are often resolved through?
compromises that include denormalization
Find out functional dependencies?
A constraint between two sets of attributes is known as functional dependency in relational database. Determination of functional dependencies is vital in database denormalization, normalization and relational model.
What are the advantages of mxit?
what are the advantages of mxit? what are the advantages of mxit?
What are the advantages of altman z score?
no advantages no advantages
What are the advantages of measuring liquids?
what are the advantages of level measurement? what are the advantages of level measurement? what are the advantages of level measurement?
What are the advantages and disadvantages of levelling?
thue advantages and dis advantages of levelling
What advantages does McDonald's have in developing countries?
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What are the advantages and disadvantages of a shunt regulator?
advantages and dis advantages of shunt regulator
