The correct answer: Data independence
Data independence<span> is the type of </span>data<span> transparency that matters for a centralised DBMS. It refers to the immunity of user applications to changes made in the definition and organization of </span>data<span>. Physical </span>data independence<span> deals with hiding the details of the storage structure from user applications.
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The logical<span> structure of the data is known as the 'schema definition'. In general, if a user application operates on a subset of the </span>attributes<span> of a </span>relation<span>, it should not be affected later when new attributes are added to the same relation. Logical data independence indicates that the conceptual schema can be changed without affecting the existing schemas.
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<span>The physical structure of the data is referred to as "physical data description". Physical data independence deals with hiding the details of the storage structure from user applications. The application should not be involved with these issues since, conceptually, there is no difference in the operations carried out against the data.</span>
Answer:
Sorry this isn’t an answer but does anyone know of a quizlet for the Microsoft Office course because I can’t find anything anywhere. Help a fellow student out. I need answers.
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Usually when someone answers a question there would be an option to mark the brainliest. However, you only get one every like 24 hrs so if you already gave someone brainliest you can't give it to someone else for a while
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Hi!
The correct answer is E.
Explanation:
void change(int ar[], int low, inthigh) {
int temp;
if(low< high) { <em>// here ask if the positions low and high of the array are the same.</em>
temp= ar[low]; <em>// first, saves the element on ar[low] in temp.</em>
ar[low]= ar[high]; <em>// second, the element on ar[high] in ar[low]. First switch.</em>
ar[high]= temp; <em>// third, saves the element on temp in ar[high]. Complete switch.</em>
change(ar,low + 1, high - 1); <em>// Recursive call, adding one position to low, and subtracting one position to high. </em><em>Important: </em><em>When low and high have the same value, the recursive call will finish.</em>
}
}
Result: Switch the lower half of elements in the array with the upper half.
A. Hypothesis can be tested and proven.
