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)

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Normalization

Normalization is the process of eliminating redundancy in a database by organizing the data into several smaller tables. The large tables are normalized (converted) into smaller tables by using normalization rules, so that a database administrator can easily handle them. It also eliminates insertion, deletion, and update anomalies.