Consider the following data cube: location (cities) Vancouver Chicago 854 882. 89 New York1087/968 38 Toronto 818/146/43 591 623 872 Q1 605 825 14 400 Q2 | 680 952 31 682/925/698 512 Q3 728/1000/789 812 1023 30 501 Q4| 927 1038 84/984/870 38 580 computer home entertainment security phone item (types) Knowing that the hierarchies of the different dimensions are as follow: • Location: cities < country < continent • Time: month < quarter (trimester) < half (semester) < year Page 1 of 2 Item: product < type < category Draw the data cube resulted after the application of the following OLAP operator: Rollup on Time (from quarter to semester) time (quarters)

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Data Warehous
Consider the following data cube:
location (cities)
Vancouver
Chicago 854882/89
New York1087 968
146
623
Toronto 818
38/872
43
591
Qi 605 825
14
400
Q2 | 680 952
682/925/698,
31
512
Q3 812 1023
728/1002/789,
30
501
927 1038
84/984/870,
Q4
38
580
computer
home
entertainment
security
phone
item (types)
Knowing that the hierarchies of the different dimensions are as follow:
Location: cities < country < continent
Time: month < quarter (trimester) < half (semester) < year
Page 1 of 2
• Item: product < type < category
Draw the data cube resulted after the application of the following OLAP operator:
- Rollup on Time (from quarter to semester)
time (quarters)
Transcribed Image Text:Consider the following data cube: location (cities) Vancouver Chicago 854882/89 New York1087 968 146 623 Toronto 818 38/872 43 591 Qi 605 825 14 400 Q2 | 680 952 682/925/698, 31 512 Q3 812 1023 728/1002/789, 30 501 927 1038 84/984/870, Q4 38 580 computer home entertainment security phone item (types) Knowing that the hierarchies of the different dimensions are as follow: Location: cities < country < continent Time: month < quarter (trimester) < half (semester) < year Page 1 of 2 • Item: product < type < category Draw the data cube resulted after the application of the following OLAP operator: - Rollup on Time (from quarter to semester) time (quarters)
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