COMPUTER SCIENCE AND ENGINEERING
SQL
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Making databases larger so that they are easier to use
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Analysing how to make databases more efficient by using separate tables to reduce redundant data
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Setting the correct data types to all of the data in a database
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None of the above
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Detailed explanation-1: -Basically, normalization is the process of efficiently organising data in a database. There are two main objectives of the normalization process: eliminate redundant data (storing the same data in more than one table) and ensure data dependencies make sense (only storing related data in a table).
Detailed explanation-2: -Normalization is the process of organizing data in a database. This includes creating tables and establishing relationships between those tables according to rules designed both to protect the data and to make the database more flexible by eliminating redundancy and inconsistent dependency.
Detailed explanation-3: -Normalization helps to reduce redundancy and complexity by examining new data types used in the table. It is helpful to divide the large database table into smaller tables and link them using relationship. It avoids duplicate data or no repeating groups into a table.
Detailed explanation-4: -The main use of normalization is to utilize in order to remove anomalies that are caused because of the transitive dependency. Normalization is to minimize the redundancy and remove Insert, Update and Delete Anomaly. It divides larger tables into smaller tables and links them using relationships.
Detailed explanation-5: -Data normalization is the process of reorganizing data within a database so that users can utilize it for further queries and analysis. Simply put, it is the process of developing clean data. This includes eliminating redundant and unstructured data and making the data appear similar across all records and fields.