Answer:
hiii
Explanation:
kk ill follow you do you have any vids
Answer:
#include <iostream>
#include<string.h>
using namespace std;
void printCharacter(string name){
for(int i=0;name[i]!='\0';i++){
cout<<name[i]<<endl;
}
}
int main()
{
string name;
cout<<"enter the name: ";
cin>>name;
printCharacter(name);
}
Explanation:
first include the two libraries iostream for input/output and string library for using the string.
then, create the main function and declare the variable type string.
cout instruction is used o display the message on the screen.
cin is used to store the value in the name variable.
after that, call the function. The program control move to the the function. In the function for loop is used to print the character one by one until end of the name.
An array of floats that can hold up to 20.
Answer: Package software
Explanation:
Packaged software is the software that contains the functions and programs that are similar in the nature and features.
It is designed in such a way so that it can attract the customers and user by providing the benefit of the selling of the collection of programs rather than buying individual software programs which costs higher.
Thus, it produced at a large scale as well as bought by numerous users.
Answer:
2. A data modelling project using a packaged data model REQUIRES A GREATER SKILL than a project not using a packaged data model.
Explanation:
1a. Review of universal models:
A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real world entities. It has become the standard approach used towards designing databases.
A universal data model is a template data model that can be reused as a starting point or a building block to jump-start development of a data modelling project, industry specific model, logical data models.
1b. Discuss how these are being used more widely today.
*Universal data models helps professional reduce development time, improve consistency and standardization while achieving high quality models.
*Higher quality: just as architects consider blue prints before constructing a building, one should also consider data before building an app. A data model helps define the problem, enabling one to consider different approaches and choose best ones.
*By properly modelling and organization's data, the database designer can eliminate data redundancies (needless repetitions) which are a key source for inaccurate information and ineffective systems.
2. Greater and advanced skills are adequate and required when data modelling project is done using packaged data model while fewer skills are required when data modelling is done without packaged data model.
