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Data Manipulation Language (DML) in SQL, such as SELECT, INSERT, UPDATE, DELETE, allows users to retrieve, modify, and delete data in a database. One advantage of DML is its flexibility in manipulating data, enabling users to perform complex queries and updates. However, a disadvantage is the potential for human error when writing DML statements, which can lead to unintended data modifications or deletions. Additionally, DML operations can impact database performance, especially when dealing with large datasets.

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What are advantages and disadvantages of circular queue over ordinary queue?

Circular queues are very efficient and work well with low level codes. Ordinary queues are the standard type of queue but they do not maximize memory data well.


What are the disadvantages of data types?

Disadvantages of data types include the potential for data loss during type conversions, which can occur when changing from a more complex type to a simpler one. Additionally, rigid data type constraints can limit flexibility, making it difficult to handle diverse data inputs. This can lead to increased complexity in code, as developers must implement additional checks and conversions to accommodate various data types. Lastly, improper use of data types can result in performance issues, particularly in large datasets or when processing speed is critical.


Advantages and disadvantages of multivalued dependencies in dbms?

Multivalued dependencies (MVDs) in a database management system (DBMS) allow for the storage of multiple values for a single attribute, facilitating more complex data relationships and reducing redundancy. This can enhance data integrity and streamline queries by grouping related data together. However, MVDs can also lead to complexities in database design and normalization, potentially causing anomalies and making it more challenging to enforce data integrity constraints. Additionally, they may complicate query performance and maintenance, as retrieving data may require more intricate joins and operations.


Disadvantages of logical data modelling?

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Which name of the data flow is invalid on a physical data flow diagram?

In a physical data flow diagram, an invalid name for a data flow might be something vague or non-descriptive, such as "Data" or "Information." Data flows should have clear and specific names that indicate the type of data being transferred, such as "Customer Order Data" or "Invoice Information." Using ambiguous names can lead to confusion and misinterpretation of the system's operations.

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