Normalization is a database design technique that reduces data redundancy and eliminates undesirable characteristics like Insertion, Update and Deletion Anomalies. It is a multi-step process that puts data into tabular form by removing duplicated data from the relation tables.

The properties of normalization include:

1. Lossless Join: This property ensures that the information is intact and that no data has been lost while decomposing the relation. In other words, the original relation can be retrieved from the decomposed relations through the natural join operation. This is crucial because it guarantees that the decomposition has not resulted in any loss of data.

2. Dependency Preservation: This property ensures that each functional dependency is represented in some individual relation after the decomposition. It is desirable because it allows us to check the violation of functional dependencies without having to join the relations. This makes the process of checking constraints after every database update easier and more efficient.

In summary, normalization through lossless join and dependency preservation helps to maintain data integrity, reduce data redundancy, and improve database performance.

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Normalization is a database design technique that reduces data redundancy and eliminates undesirable characteristics like Insertion, Update and Deletion Anomalies. It is a multi-step process that puts data into tabular form by removing duplicated data from the relation tables.

The properties of normalization include:

1. Lossless Join: This property ensures that the information is intact and that no data has been lost while decomposing the relation. In other words, the original relation can be retrieved from the decomposed relations through the natural join operation. This is crucial because it guarantees that the decomposition has not resulted in any loss of data.

2. Dependency Preservation: This property ensures that each functional dependency is represented in some individual relation after the decomposition. It is desirable because it allows us to check the violation of functional dependencies without having to join the relations. This makes the process of checking constraints after every database update easier and more efficient.

In summary, normalization through lossless join and dependency preservation helps to maintain data integrity, reduce data redundancy, and improve database performance.

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Normalization is a database design technique that reduces data redundancy and eliminates undesirable characteristics like Insertion, Update and Deletion Anomalies. It is a multi-step process that puts data into tabular form by removing duplicated data from the relation tables.

The properties of normalization include:

1. Lossless Join: This property ensures that the information is intact and that no data has been lost while decomposing the relation. In other words, the original relation can be retrieved from the decomposed relations through the natural join operation. This is crucial because it guarantees that the decomposition has not resulted in any loss of data.

2. Dependency Preservation: This property ensures that each functional dependency is represented in some individual relation after the decomposition. It is desirable because it allows us to check the violation of functional dependencies without having to join the relations. This makes the process of checking constraints after every database update easier and more efficient.

In summary, normalization through lossless join and dependency preservation helps to maintain data integrity, reduce data redundancy, and improve database performance.

Properties Of Normalization- Lossless join & Dependency Preservation

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