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What is data dependency in DBMS?
Data dependency in DBMS refers to the relationship between different data elements within a database. There are three main types: functional dependency (one attribute determines another), partial dependency (part of a composite key determines other attributes), and transitive dependency (dependency between non-key attributes). Understanding data dependencies is crucial for database normalization and maintaining data integrity.
What are the problems with data dependency?
Data dependency in computer science can lead to performance issues as it may create bottlenecks and limit parallel processing capabilities. It can also increase the risk of errors and hinder the efficiency of multi-threaded or distributed systems. Additionally, data dependency can make it difficult to optimize code for speed and scalability.
What do you mean by data independence?
the ability to modify the structure or schema of one level without affecting the other level is call data independence it is of two type physical data independence logical data independence
What is learned dependency?
Learned dependency refers to a psychological concept where individuals become overly reliant on others for decision-making and problem-solving, to the extent that they struggle to act independently. This pattern often develops from experiences of being constantly directed or controlled by others, leading to a lack of self-confidence and autonomy. Encouraging individuals to develop their decision-making skills and assertiveness can help them overcome learned dependency.
What are the the disadvantages of information technology in supply chain?
Cybersecurity threats: Information technology systems are vulnerable to cyber attacks which can compromise sensitive supply chain data. Implementation costs: Upgrading and maintaining IT systems can be expensive, especially for small businesses. Dependency on technology: Over-reliance on IT systems can lead to disruptions if there are technical issues or system failures.
What is data dependency in DBMS?
Data dependency in DBMS refers to the relationship between different data elements within a database. There are three main types: functional dependency (one attribute determines another), partial dependency (part of a composite key determines other attributes), and transitive dependency (dependency between non-key attributes). Understanding data dependencies is crucial for database normalization and maintaining data integrity.
Describe the purpose of normalizing data and also list out the dependencies involved in the process of normalization?
The purpose of normalizing data in DBMS is to reduce the data redundancy and increase the consistency of data. a) Partial dependency: non-prime attribute ( field) depends on other non-prime attributes b) Functional dependency c) Transitive dependency
What are the problems with data dependency?
Data dependency in computer science can lead to performance issues as it may create bottlenecks and limit parallel processing capabilities. It can also increase the risk of errors and hinder the efficiency of multi-threaded or distributed systems. Additionally, data dependency can make it difficult to optimize code for speed and scalability.
Example of data program dependency in file system?
-File structure is defined in the program code.
What is the situation in which the Cpu needs the result of previous instruction to process another one?
data dependency
Fully functional dependency?
A functional dependency X --> Y is full functional dependency if removal of any attribute 'k' from X means that the dependency does not hold any more.Full functional dependency is minimal in size (contain non-redundant data)In a relation R , attribute B of R is fully functionallydependent on an attribute or set of attributes A of R , if B is functionally dependent on A, but not functionally dependent on any proper subset of A.ORAàB is a fully functionally dependency, if removal of any attribute X from A would result into the cancellation of dependency. i.e. (A-{X})-->B does not hold.
What is the primary role of xml?
Exchanging data between systems with no dependency on software platforms and other incompatibility issues.
A region that belongs to another state?
Dependency
What is normalization and objective of normalization?
Normalization is the process of organizing data in a database to reduce redundancy and dependency. The objective of normalization is to minimize data redundancy, ensure data integrity, and improve database efficiency by structuring data in a logical and organized manner.
What is data dependency in database?
Data dependence is the way in which the data is organized in secondary storage, and the technique for accessing it, are both dictated by the requirements of the application under consideration, and moreover that knowledge of that data organization and that access technique is built into the application logic and code.
Where is the lowest rate of welfare dependency in the US?
According to data from the U.S. Census Bureau, New Hampshire has the lowest rate of welfare dependency in the United States. This is often attributed to the state's low unemployment rate and strong economy.
What is data in software?
Coupling is a measure of the relationship or dependency between two modules. Data Coupling occurs between two modules when data is passed by parameters using a simple argument list and every item in the list is used.
