Dallas Bowling Inc. has an OLTP database to record its tournament data. There are 6 tables stored inside the database. When a tournament is announced, its date and location are stored in ‘tournaments’ table. The information of tournament match is kept in ‘tourney_matches’ table.
When a match is played, the home team ID is classified as ‘odd lane team ID’, and the visiting team ID is classified as ‘even lane team ID’. For each bowling match, two teams will play 3 games to decide the winner of the match, and the first team get two wins will win the match. The ‘match_games’ table shows the winner of each game, and ‘bowler_scores’ table shows the score of each bowler who played that game.
All bowlers’ and teams’ information such as team captain, and bowlers’ name, are recorded in ‘bowlers’ and ‘teams’ tables. The figure above shows the logical schema of Dallas Bowling Inc.’s OLTP database. The CEO of Dallas Bowling Inc. wants a data warehouse to keep track of teams’ performance in away and home game. The figure below shows tables of Dallas Bowling Inc.’s OLAP. Two fact metrics that he wants to have for his data warehouse:
TotalWinningAwayGame (total of winning away games by home team against another away team by date), and TotalWinningHomeGame (total of winning home games by home team against another away team by date). Import OLTP data codes from D2L if you haven’t done from previous assignment, and then create SSIS package solution that can perform ETL process to load data into OLAP database and submit the mapping document in Word file. Please note that DimTeam should handle Slowly Changing Dimension issues.
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