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Consider the following relation with sample data. AIRPORT KLX TABLE Date AirlineID AirlineName TerminalID NumberOfGates Number OfDepartingFlights 11-Dec UA United A 20 34 11-Dec
Consider the following relation with sample data. AIRPORT KLX TABLE Date AirlineID AirlineName TerminalID NumberOfGates Number OfDepartingFlights 11-Dec UA United A 20 34 11-Dec NW Northwest A 20 17 11-Dec AA American A 20 11 11-Dec DL Delta B 15 20 11-Dec JB Jet Blue B 15 6 12-Dec UA United A 20 29 12-Dec DL Delta B 15 20 12-Dec SWA Southwest 15 17 The AIRPORT KLX Taexulle captures the data about daily departing flights at the KLX Airport. Each airline operating at KLX airport has a unique Airline ID and an Airline Name. Each terminal at KLX airport has a unique Terminal ID and a fixed Number of Gates. Each airline is permanently assigned to one (and only one) terminal at the KLX Airport. Each terminal at KLX Airport can have multiple airlines assigned to it. Each day (Date), this taexulle records the Number of Departing Flights at KLX Airport for each airline. E4.5a Using the AIRPORT KLX Table, describe an example that illustrates the insertion anomaly. E4.5b Using the Airport KLX Table, describe an example that illustrates the deletion anomaly. E4.5c Using the Airport KLX Table, describe an example that illustrates the modification anomaly. E4.5d Depict full key functional dependencies, partial functional dependencies (if any), and transitive functional dependencies (if any) in the Airport KLX Table. E4.5e Show the result of normalizing the Airport KLX Table to 2NF. E4.5f Show the result of normalizing the Airport KLX Table to 3NF. E4.5g Using the set of tables resulting from E4.5f, describe how the anomalies shown in E4.5a, E4.5b, and E4.5c are eliminated.
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E45b Deletion anomaly If an Airline stops working and its data AirlineID and AirlineName need to be ...Get Instant Access to Expert-Tailored Solutions
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