You need to return all travel data from the TRAVELS table for the CAR_ID which has a plate number compared with SUBSTR and UPPER functions.
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The InstantRide User Satisfaction team received a phone call from a user who might have left her wallet in the car. She indicated that the license plate of the car was starting with BB-883 but unfortunately, she could not remember the full license plate number. The team wants to get all travel information for the cars with the license plate starting with BB-883. You need to return all travel data from the TRAVELS table for the CAR_ID which has a plate number compared with SUBSTR and UPPER functions.
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- Attribute Name Sample Value Sample Value Sample Value INV_NUM 211347 211347 211347 PROD NUM SALE DATE PROD LABEL VEND_CODE VEND_NAME QUANT SOLD PROD_PRICE AA-E3422QW 15-Jan-2018 Rotary sander 211 QD-300932X 15-Jan-2018 0.25-in. drill Band saw 211 309 NeverFail, Inc. NeverFail, Inc. BeGood, Inc. 1 $49.95 8 RU-995748G 15-Jan-2018 $3.45 1 $39.99 Sample Value Sample Value 211348 211349 AA-E3422QW 15-Jan-2018 Rotary sander 211 Power drill 157 NeverFail, Inc. ToughGo, Inc. 2 GH-778345P 16-Jan-2018 $49.95 1 $87.75 c) Remove all transitive dependencies, write the relational schema, and draw the new dependency diagrams. Also identify the normal forms for each table structure you created.Member ID 1582 2587 3549 9536 2567 2154 3265 8765 3259 6540 First Name Mara Philip Kathleen Sau Shanice Chase Tommie Dorcas Angel Weston BookingID 1 2 3 4 5 6 7 8 Table 1: Member Last Name Gender Age Female 25 Male 36 Female 25 United States Female 25 United States Hashimoto Gent Hanner Pfau Mccrystal Karner Jia Darity Sanor Martina Room Room 15 Room 25 Room 1 Room 15 Room 5 Room 21 Room 3 Room 8 Date 29-Dec-2020 9-Dec-2021 3-Mar-2019 4-Sep-2021 13-Feb-2021 6-May-2021 10-Nov-2020 4-Apr-2022 Table 2: Booking Days 2 4 6 5 10 6 5 Female 36 Male 37 Male 26 Female 37 Male 24 Male 23 4 Table 3: Make MemberID 3549 9536 6540 2154 2567 2154 3265 1582 $150.00 $80.00 $120.00 $300.00 Country Uganda France 3 4 China Australia United States United States Cost per day $200.00 $80.00 $80.00 $150.00 5 6 7 8 France China BookingID 1 2 Joined Date 16-Aug-2020 21-May-2015 12-Dec-2017 16-Aug-2019 16-Aug-2020 1-Jan-2021 29-Dec-2018 21-May-2019 4-Mar-2019 1-Feb-2022 Status Paid Paid Pending Paid Pending Paid…questionnn
- 16Alg_4 Please answer the following question step by stepPET ID PET NAME PET TYPE PET AGE OWNER VISIT DATE PROCEDURE 246 ROVER DOG 12 SAM COOK JAN 13/2002MAR 27/2002APR 02/2002 01 - RABIES VACCINATION10 - EXAMINE and TREAT WOUND05 - HEART WORM TEST 298 SPOT DOG 2 TERRY KIM JAN 21/2002MAR 10/2002 08 - TETANUS VACCINATION05 - HEART WORM TEST 341 MORRIS CAT 4 SAM COOK JAN 23/2001JAN 13/2002 01 - RABIES VACCINATION01 - RABIES VACCINATION 519 TWEEDY BIRD 2 TERRY KIM APR 30/2002APR 30/2002 20 - ANNUALCHECK UP12 - EYE WASH The functional dependencies that I note are as follows: Pet ID --> Pet Name, Pet Type, Pet Age, Owner Pet ID, Visit Date --> {Visit Procedure} (the set of visit procedures), note the use of procedure codes that repeat, but are listed in their own column So, Is there are other functional dependencies? If so, what are they? If not, why not? Do you believe it would help to create additional attributes during normalization? If so, what are they? If not, justify why it's not needed. Please help me understand this.Computer Architectecture ll [CR-CE325]
- questionn2@Build ER diagramStudent_Grade Student ID Course Code Semester 1-2019-2020 Mark Grade 20195605 A0313401 87 20195606 A0313402 1-2019-2020 81 20191200 A0312305 3-2018-2019 77 20205305 A0313401 1-2019-2020 91 20205306 A0313402 1-2019-2020 78 20201202 A0312305 3-2018-2019 81 1) Create the table 2) Insert the data 3) Assign a letter grade to the "Grade" according to the following rules: a. If the mark is greater or equal to 90, assign "A" b. If the mark is between 80 and 89, assign "B" c. If the mark is less than 80, assign "C"
- Scaling must be automatically setup.Trigger pleaseP_Id P_Name Gender Age 1 Aqib Male 25 2 Saima Female 36 3 Fatima Female 29 4 Nouman Male 31 5 Muneeb Male 40 6 Tariq Male 38 7 Ikram Male 26 8 Sadia Female 27 D_Id D_Fname D_Lname Salary City 1 Laiba Hafeez 50000 Rwp 2 Sameer Khan 80000 Isb 3 Talib Ali 62000 Isb 4 Saleem Iqbal 77000 Multan 5 Tania Abbas 85000 Lahore 6 Huda Ahmad 68000 Rwp Write SQL queries for the following. Display details of those patients whose age is either 25 or 36 or 29 without using a comparison operator. Display first name and last name of those doctors whose salary is less than or equal to 77,000 and greater than or equal to 50,000 using between operator. Display details of those doctors who neither belong to Isb nor Rwp nor Multan without using in and like operator. Display full name of doctors whose first name…