Some consultants believe it is inefficient to maintain multiple databases for the two companies whose merger was presented in the Discussion. They recommend a single data source as the best solution for data integration. Therefore, all the data from both companies will be merged into a single set of tables, and the reports will be generated from this merged database.

The tables and data from the Unit 2 Application are shown below.

CUSTOMERS (ID, NAME(LAST FIRST), ADDRESS, CURRENT BALANCE, CREDIT LIMIT, SALES REP ID)
124 ADAMS SALLY 481 OAK LANSING MI 49224 818.75 1000 3
256 SAMUELS ANN 215 PETE GRANT MI 49219 21.5 1500 6
311 CHARLES DON 48 COLLEGE IRA MI 49034 825.75 1000 12
315 DANIELS TOM 914 CHERRY KENT MI 48391 770.75 750 6
405 WILLIAMS AL 519 WATSON GRANT MI 49219 402.75 1500 12
412 ADAMS SALLY 16 ELM LANSING MI 49224 1817.5 2000 3
522 NELSON MARY 108 PINE ADA MI 49441 98.75 1500 12
567 DINH TRAN 808 RIDGE HARPER MI 48421 402.4 750 6
587 GALVEZ MARA 512 PINE ADA MI 49441 114.6 1000 6
622 MARTIN DAN 419 CHIP GRANT MI 49219 1045.75 1000 3
SALES REPS (ID, NAME(LAST FIRST), ADDRESS, TOTAL COMMISSION, COMMISSION RATE)
3 JONES MARY 123 MAIN GRANT MI 49219 2150 .05
6 SMITH WILLIAM 102 RAYMOND ADA MI 49441 4912.5 .07
12 DIAZ MIGUEL 419 HARPER LANSING MI 49224 2150 .05
ORDERS(ID, ORDER DATE, CUSTOMER, SHIPPING DATE)
12489 02-JUL-11 124 22-JUL-11
12491 02-JUL-11 311 22-JUL-11
12494 04-JUL-11 315 12-JUL-11
12495 04-JUL-11 256 22-AUG-11
12498 05-JUL-11 522
12500 05-JUL-11 124 22-AUG-11
12504 05-JUL-11 522
ORDER LINES (ORDER ID, PART ID, NUMBER ORDERED, QUOTED PRICE)
12489 AX12 11 21.95
12491 BT04 1 149.99
12491 BZ66 1 399.99
12494 CB03 4 279.99
12495 CX11 2 22.95
12498 AZ52 2 12.95
12500 BT04 1 149.99
12504 CZ81 2 325.99
PARTS (PART ID, PART DESCRIPTION, UNITS ON HAND, CLASS, WAREHOUSE NUMBER, UNIT PRICE)
AX12 IRON 104 HW 3 24.95
AZ52 DARTBOARD 20 SG 2 12.95
BH22 CORNPOPPER 95 HW 3 24.95
BT04 GAS GRILL 11 AP 2 149.99
BZ66 WASHER 52 AP 3 39.99
CA14 GRIDDLE 78 HW 3 39.99
CB03 BIKE 44 SG 1 299.99
CX11 BLENDER 112 HW 3 22.95
CZ81 TREADMILL 68 SG 2 349.95

The tables and data for the company you are merging with are shown below.

CUSTOMER (CUST NO, NAME (LAST FIRST), ADDRESS, E-MAIL, PRIMARY PHONE, CURRENT BALANCE, CREDIT LIMIT, SALES REP ID)
100 ADAMS SALLY 481 OAK LANSING MI 49224 NULL 444-555-1212 500.25 1500 2
108 SMITH JON 215 PETE GRANT MI 49219 [email protected] NULL 21.5 1500 15
124 ROAST CHUCK 48 COLLEGE IRA MI 49034 NULL 444-555-1111 825.75 1000 15
101 WILLIAMS AL 914 CHERRY KENT MI 48391 NULL 444-555-1211 125.75 2500 15
SALES REPS (SALES NO, NAME (LAST FIRST), ADDRESS, E-MAIL, COMMISSION RATE)
15 DALY SYLVIA 555 MAIN GRANT MI 49219 [email protected] .05
2 JONES WILLIAM 15 SECOND ADA MI 49441 [email protected] .07
ORDERS (ORDER NO, ORDER DATE, CUSTOMER, STATUS, SHIPPING DATE)
11223 02-JUN-11 100 1 22-JUN-11
11224 02-AUG-11 100 1 15-AUG-11
11225 04-AUG-11 101 3 01-SEP-11
11226 04-JUL-11 124 2 22-JUL-11
ORDER LINES (ORDER NO,PROD ID)
11223 15 2
11223 24 1
11223 17 3
11224 6 1
11226 6 2
11226 15 1
11225 6 2
PRODUCTS (PROD ID, PRODUCT NAME, DESCRIPTION, QTY ON HAND, WAREHOUSE NUMBER, UNIT PRICE)
12 MIXER 125 3 24.95
15 DARTBOARD 15 2 12.95
17 BLENDER 10 3 24.95
1 LAWN MOWER 2 2 149.99
24 WAFFLE MAKER 17 3 39.99
6 FRY PAN 122 3 39.99
8 BIKE 20 1 299.99
18 TREADMILL 19 2 349.95

Design a UML model for the new company enterprise. Provide a mapping of the original fields to the fields in your diagram to ensure no data is lost in the transition. All tables must have primary keys and foreign keys. Capture screenshots of the tables.

Create the new database using MySQL and transfer the existing data into the new tables. Clean the data and remove duplicate records as they are transferred to the new tables. Do not destroy the existing data in the original database in case you need to go back and retrieve the original data. Capture screenshots of the data cleaning process.

As you are designing and merging the data, consider the following:

•There may be errors in some of the data that will result in inconsistencies and duplicate records. Make reasonable assumptions as to which records are duplicates, and list all assumptions and business rules in your UML model. Define and justify what constitutes a duplicate customer.
•The same customer may have a different credit limit for each store. When the stores merge, decide what the customer's credit limit will be.

• A sales representative's commission is 5%.
• Consolidate the current balance due for each customer from each store.

•Determine and justify what constitutes the same part/product. Consider storing the inventory to create uniqueness in the parts/products table.
After you create the tables and load the data into them, generate the following reports by creating screenshots or cutting and pasting the results into a Word document:

1.List each sales representative with their customers' last names, first names, addresses, credit limits, and balances.
2.Show the orders placed over the past 10 years, grouped by customer. Include the order number, order date, ship date, part numbers for ordered parts, quote price, number ordered, and cost for the ordered amount of parts.
3.A part list including part description, vendor, quantity on hand, and unit price, grouped by warehouse