For the following two transactions and the initial table values as shown complete the missing blanks in the transaction log below: Part_ID Desrption OnHand OnOrder 57 Assembled Foo 5 0 987 Foo Fastener 12 7 989 Foo Half 7 0 BEGIN TRANSACTION; UPDATE Part SET OnHand = OnHand + 7, OnOrder = OnOrder – 7 WHERE Part_ID = 987; COMMIT; BEGIN TRANSACTION; UPDATE Part SET OnHand = OnHand - 4 WHERE Part_ID = 987; UPDATE Part SET OnHand = OnHand - 2 WHERE Part_ID = 989; UPDATE Part SET OnHand = OnHand + 1 WHERE Part_ID = 57; COMMIT TRL_ID TRX_ID PREV_PTR NEXT_PTR OPERATION TABLE ROW ID ATTRIBUTE BEFORE VALUE AFTER VALUE 1787 109 NULL   START ****         1788 109 1787   UPDATE PART 987 OnHand 12   1789 109     UPDATE PART 987 OnOrder 7   1790 109   NULL COMMIT ****         1791 110 NULL   START ****         1792 110     UPDATE PART 987 SelectOnOrderOnHandItem 11      1793 110     SelectUPDATESTARTCOMMITPARTItem 16  SelectUPDATESTARTCOMMITPARTItem 17    SelectOnOrderOnHandItem 19  7 5 1794 110     SelectUPDATESTARTCOMMITPARTItem 22  SelectUPDATESTARTCOMMITPARTItem 23    SelectOnOrderOnHandItem 25  5 6 1795 110   NULL COMMIT ****

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Fundamentals of Datawarehouse

A data warehouse is a data repository which is used to store large quantities of historical data that are mostly used for creating reports that help businesses to identify their weaknesses and strengths. For example, demographics data about people of a region can help businesses identify the needs and preferences of the region’s population. A data warehouse acts as a central storage for storing data that comes from one or more heterogenous sources. It also consists of data which can be old and of historical value. One of the most important applications of this type of system is that it is used for supporting business intelligence and data analytics applications.