Examine your MNC’s outsourcing issues . Does your MNC out ✓ Solved

The following tables form part of a database held in a relational DBMS: Hotel hotelNo hotelName city 101 Grosvenor London 102 Swallow London 201 Waldorf Astoria New York 202 Plaza New York 401 Sofitel Minneapolis Guest guestNo guestName guestAddress 40 John Smith 10 E 42 St, New York, NY 41 Mary Jones 110 Elm St, Garden City, NY 52 Thomas Smith St, Flushing, NY 53 Joseph Schmo 1052 E 85 St, Brooklyn, NY 60 Ima Sample 3010 Broadway, New York, NY 61 Shesa Sample 2510 Utica Ave, Minneapolis, MN 62 George Seaver 41 Arschloch Rd, Grenewich, CT 63 Jerome Koosman 54 Morris Ave, Stillwater, MN Room roomNo hotelNo Type Price Single Double Single Double Double Suite Single Double Single Double Double Suite Single Double Single Double Double Suite 300 Booking hotelNo guestNo dateFrom dateTo roomNo /12//14//12//13//24//27//24//26//31//2//28//31/.

Write SQL Queries and expected output for the following:

  • a. How many hotels are there?

  • b. List all double rooms (Hotel name & Room No) with a price below £40.00 per night, in ascending order of price.

  • c. How many different number of guests have made bookings for August?

  • d. What is the lost income from unoccupied rooms at the Grosvenor Hotel on 10/12/2021?

  • e. Increase the price of all rooms by 5%.

  • f. What is the most commonly booked room type for each hotel in London?

  • g. List all guests (Name) currently staying at the Grosvenor Hotel.

The table shown below lists sample dentist/patient appointment data. A patient is given an appointment at a specific time and date with a dentist located at a particular surgery. On each day of patient appointments, a dentist is allocated to a specific surgery for that day.

Provide examples of insertion, deletion, and update anomalies. Identify the functional dependencies represented by the attributes shown in the table. State any assumptions you make about the data and the attributes shown in this table. Describe and illustrate the process of normalizing the table shown to 3NF relations. Identify the primary, alternate, and foreign keys in your 3NF relations.

Dentist No Dentist Name Patient No Patient Name AppointmentDateTime SurgeryType S1011 Tony Smith P100 Gillian White 12-Sep-:00 S15 S1011 Tony Smith P105 Jill Bell 12-Sep-:00 S15 S1024 Helen Pearson P108 Ian Mackay 12-Sep-:00 S10 S1024 Helen Pearson P108 Ian Mackay 14-Sep-:00 S10 S1032 Robin Plevin P105 Jill Bell 14-Sep-:30 S15 S1032 Robin Plevin P110 John Walker 15-Sep-:00 S13 Week 7: MNC Section VI My multi-national company (Toyota-manufacturing company) Home: Japan Host: USA

PART A: Examine your MNC’s outsourcing and immigration issues.

  • Q.1 Does your MNC outsource work? Where to? Why does it outsource?

  • Q.2 Address immigration policy in your MNC home country and host country.

  • Q.3 What does this immigration policy and outsourcing policy tell you about your MNC?

PART B Your MNC and Outsourcing/Immigration. This week, please examine your MNC and research it to find where your MNC outsources work (production, manufacturing, labor, etc.) for example. Do you see tight immigration policies between your Home/Host countries or are they relaxed and even encouraged?

Paper For Above Instructions

The examination of a multinational corporation (MNC) such as Toyota highlights the complexities of outsourcing and immigration policies impacting modern business operations. In response to the prompt, we will first focus on the database queries related to hotel and guest management, subsequently moving on to analyze dental appointment data and illustrate the normalization process up to third normal form (3NF).

SQL Queries for Hotel Database

Query A: Count of Hotels

To find the number of hotels in the database, the SQL query can be as follows:

SELECT COUNT(*) AS NumberOfHotels FROM Hotel;

Expected Output A:

The expected output would display a single count representing the total number of hotels. For instance:

NumberOfHotels

5

Query B: List of Double Rooms with Price Below £40

The SQL query to retrieve all double rooms with a price below £40.00 per night is:

SELECT hotelName, roomNo FROM Room r JOIN Hotel h ON r.hotelNo = h.hotelNo WHERE r.Type = 'Double' AND r.Price < 40 ORDER BY r.Price ASC;

Expected Output B:

The output should list the hotel name and room number sorted by price:

hotelName    roomNo

Swallow 101

Query C: Different Number of Guests in August

To find out how many different guests made bookings in August, the query would be:

SELECT COUNT(DISTINCT guestNo) AS DifferentGuestsAugust FROM Booking WHERE MONTH(dateFrom) = 8;

Expected Output C:

The output would give the count of unique guests who have bookings in August:

DifferentGuestsAugust

3

Query D: Lost Income from Unoccupied Rooms

To determine the lost income from unoccupied rooms at the Grosvenor Hotel, the following SQL query can be executed:

SELECT SUM(Price) AS LostIncome FROM Room r LEFT JOIN Booking b ON r.roomNo = b.roomNo WHERE r.hotelNo = 101 AND b.dateFrom IS NULL;

Expected Output D:

The expected outcome could appear as:

LostIncome

200

Query E: Increase Room Prices by 5%

The SQL to increase all room prices by 5% can be executed as follows:

UPDATE Room SET Price = Price * 1.05;

Query F: Most Commonly Booked Room Type in London

To find the most commonly booked room type for each hotel in London:

SELECT hotelNo, Type, COUNT(*) as BookingCount FROM Room r JOIN Booking b ON r.roomNo = b.roomNo JOIN Hotel h ON r.hotelNo = h.hotelNo WHERE h.city = 'London' GROUP BY hotelNo, Type ORDER BY BookingCount DESC;

Query G: List of Guests at Grosvenor Hotel

The following SQL query will provide the names of guests currently at the Grosvenor Hotel:

SELECT guestName FROM Guest g JOIN Booking b ON g.guestNo = b.guestNo WHERE b.hotelNo = 101 AND b.dateTo >= CURRENT_DATE;

Analysis of Dentist/Patient Appointment Data

Next, we examine the table containing dentist and patient appointment data. This table is susceptible to various anomalies; for instance:

Insertion Anomaly

If a new dentist is added but there are no appointments scheduled, the dentist's information cannot be entered without introducing NULL values in other fields.

Deletion Anomaly

Deleting a patient with a unique appointment could inadvertently remove essential information about the dentist associated with that appointment.

Update Anomaly

Changing a dentist's name would require updates in multiple records, risking data inconsistency if some records are overlooked.

Functional Dependencies

Functional dependencies include various attributes where the appointment is dependent on both dentist and patient information. For example:

  • Dentist No -> Dentist Name

  • Patient No -> Patient Name

  • (Dentist No, AppointmentDateTime) -> SurgeryType

Normalization to 3NF

To normalize to third normal form (3NF), we would first identify primary keys, which could be (Dentist No, AppointmentDateTime), and then separate the data into three tables:

Table 1: Dentists

  • Primary Key: Dentist No

  • Attributes: Dentist Name

Table 2: Patients

  • Primary Key: Patient No

  • Attributes: Patient Name

Table 3: Appointments

  • Primary Key: (Dentist No, AppointmentDateTime)

  • Foreign Keys: Patient No, SurgeryType

Conclusion

This examination highlights how, through SQL queries, one can extract meaningful insights from data related to hotels and appointments, while also addressing structural improvements that enhance data integrity through normalization.

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