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.
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.
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.
1. Database may need completely redoing if a single field in one relational table has to be changed. 2. If an ERD is resolved incorrectly then it would have to be redone.
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.
Flow Control:is one important design issue for the Data Link Layer that controls the flow of data between sender and receiver.In Communication, there is communication medium between sender and receiver. When Sender sends data to receiver than there can be problem in below case :1) Sender sends data at higher rate and receive is too sluggish to support that data rate.To solve the above problem, FLOW CONTROL is introduced in Data Link Layer. It also works on several higher layers. The main concept of Flow Control is to introduce EFFICIENCY in Computer Networks.Error Control:Network is responsible for transmission of data from one device to another device. The end to end transfer of data from a transmitting application to a receiving application involves many steps, each subject to error. With the error control process, we can be confident that the transmitted and received data are identical. Data can be corrupted during transmission. For reliable communication, error must be detected and corrected.Error control is the process of detecting and correcting both the bit level and packet level errors.Types of ErrorsSingle Bit ErrorThe term single bit error means that only one bit of the data unit was changed from 1 to 0 and 0 to 1.Burst ErrorIn term burst error means that two or more bits in the data unit were changed. Burst error is also called packet level error, where errors like packet loss, duplication, reordering. BY RAHUL SAGORE from IIPS, INDORE
disadvantages in data manual processing
There are both advantages and disadvantages of data collection methods in statistics. The main advantages are the metrics and correlation one can draw from statistics. The disadvantages stem from sampling errors.
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Data manipulation language(DML) data Defenition language(DDL) data control Language(DCL) Transaction Control
1.The data definition facility or data definition language (DDL). 2.The data manipulation facility or data manipulation language (DML). 3.The data query facility or data query language [DQL]. 4.The data control facility or data control language [DCL]. 5.The transaction control facility or data control language [TCL].
1. A data definition language 2. A data manipulation language 3. A data dictionary
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Data in a database table can be inserted by the help of Data Manipulation Language, by writing query in language like Sql.
ddl: data definition languagedml: data manipulation language
advantages of object oriented data base
Advantages and Disadvantages of primary data are: Advantages 1. Data is basic 2. Unbiased information 3. Original data 4. Data from the primary market/ population 5. Data direct from the population. Disadvantages. 1. Large volume of data. 2. Huge volume of population. 3. Time consuming 4. Direct and personal intervention has to be there. 5. Raw data.
SQL allows for easy access and retrieval of large amounts of data, provides a standardized language for interacting with databases, and offers powerful tools for data manipulation and analysis. Additionally, SQL supports data integrity and security features to ensure reliable and secure data management.