Starting from the database used in Project 1 (see the slightly cha.docx

Starting from the database used in Project 1 (see the slightly
changed schema from the original version used in P1, defined in
the attached DDL file), a data warehouse star schema with the
following characteristics will be defined:
· Dimension tables:
1. Date
2. Product
3. Customer
· Fact table:
1. Sales
For this final project, perform the following steps:
· Create the tables defined above in a star schema. Add the
necessary columns in each table to facilitate the implementation
of the queries defined below. Only the four tables listed above
are allowed in that star schema
· Write PL/SQL code (anonymous blocks and/or subprograms)
to populate the warehouse schema with data from the
normalized database provided in the attached DDL script
· Write SQL code to perform the following queries:
1. What customer age group spent the most money in the last
year? An age group is defined as a ten years interval, such as:
11 – 20, 21 – 30, etc
2. In what zip codes did the highest number of sales (number of
items) occur during April 2015?
3. What day of the week did they do most business (by value of
sales) in the last year?
4. What quarter is the worst (by value of sales) for each product
category, using the whole set of historical data available in the
warehouse?
5. What was the best sales month for each product in the last
year?
· Write a couple of paragraphs describing:
. How this small data warehouse can help decision making
. How is it different from the original database used as data

source
Submit the PL/SQL blocks and SQL statements as a text file
(Notepad) following the document naming convention
FirstLastFP.txt.
Grading: this project is awarded 100 points
15 points
DDL Script to create the tables in the star schema
25 points
PL/SQL code to populate the star schema from the original
database
5 x 10 points
SQL statements for each of the requested queries
10 points
Description of how this data warehouse helps decision making
and how it differs from regular databases
DROP TABLE ORDER_ITEMS;
DROP TABLE ORDERS;
DROP TABLE CUSTOMERS;
DROP TABLE PRODUCTS;
DROP TABLE CATEGORIES;
CREATE TABLE CATEGORIES (
ID NUMBER PRIMARY KEY,
Name VARCHAR2(20) NOT NULL);

CREATE TABLE PRODUCTS (
CatID NUMBER,
Name VARCHAR2(20) NOT NULL,
Price NUMBER NOT NULL,
FOREIGN KEY (CatID) REFERENCES CATEGORIES(ID));
CREATE TABLE CUSTOMERS (
Name VARCHAR2(50) NOT NULL,
DOB DATE NOT NULL,
Email VARCHAR2(50),
ZipCode CHAR(5) NOT NULL);
CREATE TABLE ORDERS (
CustID NUMBER NOT NULL,
DatePlaced DATE DEFAULT SYSDATE,

FOREIGN KEY (CustID) REFERENCES CUSTOMERS(ID));
CREATE TABLE ORDER_ITEMS (
OrderID NUMBER NOT NULL,
ProdID NUMBER NOT NULL,
Quantity NUMBER DEFAULT 1,
DateShipped DATE,
FOREIGN KEY (OrderID) REFERENCES ORDERS(ID),
FOREIGN KEY (ProdID) REFERENCES PRODUCTS(ID));
INSERT INTO CATEGORIES VALUES (1, 'Books');
INSERT INTO CATEGORIES VALUES (2, 'Electronics');
INSERT INTO CATEGORIES VALUES (3, 'Outdoors');
INSERT INTO PRODUCTS VALUES (1, 1, 'The Lost Years',
15);
INSERT INTO PRODUCTS VALUES (2, 1, 'iPhone
Development', 24);
INSERT INTO PRODUCTS VALUES (3, 1, 'A Raisin in the

Sun', 11);
INSERT INTO PRODUCTS VALUES (4, 1, 'Lone Wolf', 17);
INSERT INTO PRODUCTS VALUES (5, 1, 'Harry Potter', 50);
INSERT INTO PRODUCTS VALUES (6, 2, 'USB Flash Drive',
25);
INSERT INTO PRODUCTS VALUES (7, 2, 'Laptop Mouse',
35);
INSERT INTO PRODUCTS VALUES (8, 2, 'Laser Printer',
250);
INSERT INTO PRODUCTS VALUES (9, 2, 'Speaker System',
65);
INSERT INTO PRODUCTS VALUES (10, 2, 'Broadband
Router', 75);
INSERT INTO PRODUCTS VALUES (11, 3, 'Student
Backpack', 35);
INSERT INTO PRODUCTS VALUES (12, 3, 'Flash Light', 80);
INSERT INTO PRODUCTS VALUES (13, 3, 'Men''s Jacket',
99);
INSERT INTO PRODUCTS VALUES (14, 3, 'Binocular', 60);
INSERT INTO PRODUCTS VALUES (15, 3, 'Swiss Army
Knife', 20);

INSERT INTO CUSTOMERS VALUES (1, 'John M. Newton',
'11-JAN-1980', '[email protected]', 21001);
INSERT INTO CUSTOMERS VALUES (2, 'David S.
Harrington', '21-JUL-1985', '[email protected]', 21002);
INSERT INTO CUSTOMERS VALUES (3, 'Bob R. Hume', '21-
JAN-1990', '[email protected]', 21003);
INSERT INTO CUSTOMERS VALUES (4, 'Jeff A. Newman',
'12-FEB-1975', '[email protected]', 21004);
INSERT INTO CUSTOMERS VALUES (5, 'Bill G. Davidson',
'21-DEC-1989', '[email protected]', 21005);
INSERT INTO CUSTOMERS VALUES (6, 'Joe A. Huntsman',
'10-MAR-1965', '[email protected]', 21006);
INSERT INTO CUSTOMERS VALUES (7, 'Chris W. White',
'22-MAR-1955', '[email protected]', 21007);
INSERT INTO CUSTOMERS VALUES (8, 'Mark A. Black',
'13-JAN-1973', '[email protected]', 21008);
INSERT INTO CUSTOMERS VALUES (9, 'Vlad B. Johnson',
'16-DEC-1997', '[email protected]', 21009);
INSERT INTO CUSTOMERS VALUES (10, 'Matt C. Allen',
'04-OCT-1977', '[email protected]', 21010);
INSERT INTO ORDERS VALUES (1, 1, '25-MAR-2015');
INSERT INTO ORDER_ITEMS VALUES (1, 1, 2, '25-MAR-
2015');

2015');
2015');
2015');
2015');
2015');
2015');
2015');
2015');
2015');

INSERT INTO ORDER_ITEMS VALUES (3, 7, 2, NULL);
INSERT INTO ORDERS VALUES (13, 3, '07-APR-2015');
2015');
2015');
INSERT INTO ORDERS VALUES (14, 4, '08-AUG-2014');
INSERT INTO ORDER_ITEMS VALUES (14, 2, 1, '29-AUG-
2014');

INSERT INTO ORDER_ITEMS VALUES (14, 10, 2, '29-AUG-
2014');

INSERT INTO ORDERS VALUES (7, 7, '07-SEP-2014');
INSERT INTO ORDERS VALUES (8, 7, '07-OCT-2014');
INSERT INTO ORDERS VALUES (9, 2, '14-NOV-2014');

INSERT INTO ORDERS VALUES (10, 8, '24-DEC-2014');
INSERT INTO ORDERS VALUES (11, 8, '04-JAN-2015');

INSERT INTO ORDERS VALUES (12, 9, '24-DEC-2014');
INSERT INTO ORDERS VALUES (15, 10, '05-NOV-2013');

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