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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.
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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 is data dependency?
It is like a dependent variable it is just a variable alone.
What problems did you encounter in gathering data?
Some common problems encountered in gathering data include incomplete or inconsistent data sources, missing or inaccurate data, lack of access to necessary data, and difficulties in data integration across different systems or formats. Additionally, privacy concerns and ensuring data security are important considerations in data collection processes.
What do you mean by data independence?
Data independence refers to the ability to make changes in the database structure without affecting the applications that use the data. It is achieved through different levels: physical, logical, and view-level independence. This helps in isolating the applications from underlying changes, providing flexibility and reducing dependency.
What is data handling skills?
Data handling skills refer to the ability to collect, organize, analyze, and interpret data effectively. This includes tasks such as data entry, data cleaning, data visualization, and data reporting. Strong data handling skills are important for making informed decisions and solving complex problems based on data.
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 is data dependency?
It is like a dependent variable it is just a variable alone.
What is the situation in which the Cpu needs the result of previous instruction to process another one?
data dependency
Example of data program dependency in file system?
-File structure is defined in the program code.
What is data redundancy and problems associated with it?
Duplication of data is data redundancy. It leads to the problems like wastage of space and data inconsistency.
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 type of problems can be in data sensors?
sensoring the data
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.
Problems that occur when incorrect data is stored?
There are quite a few problems with storing data 1) security issues 2) excessive data
What percentage of teens who started drinking before the age of 14 went on to have alcohol dependency problems later on in life?
50./.
