Expectations: 1. Normalize the data, provide rationale for the tables you create, create the relational tables that you identified as part of the normalization process using appropriate SQL/DDL, insert the data into the tables using SQL/DDL, create queries as indicated using SQL/DML Aim: To review Relational concepts including normalization and SQL coding. Customer Alice Address 13-14 5th Ave Ordered Amount Priceperunit Onhand Plums 40 1 100 Vendor Very Fresh Alice 1314 5th Ave Oranges 30 3 300 Garden Heaven Alice 13-14 5thAve Pears 10 4 400 Produce One Alice 1314 5th Avenue Oranges 40 3 300 Garden Heav. Bill 55 Mapel Drive Apples 50 2 200 Very Fresh Bill 55 Maple Drive Bananas 100 5 500 Garden Heaven Bill 55 Maple Dr. Bananas 100 5 500 Caitlin 1 Oak Road Apt. 3A Plums 40 1 100 Caitlin 1 Oak Rd. Ap. 3A Plums 40 1 100 V. Fresh Elizabeth Laura 16 Sunshine Lane Kiwi 30 7 700 66 East 4th Street Grapes 60 6 600 Garden Hyn Very Fresh Veggie Heaven Veggie Haven Laura 66 East 4th Street Apples 10 2 200 Very Fresh SECTION One-Normalize the table above ° ° ° о using the methods taught in class and also the readings/videos assigned for this week split the table into separate tables. Identify the primary, secondary (foreign) and/or composite keys Using the example given below as your guide, document each table you created after you have normalized the data in this manner. EXAMPLE: Tablenamel (fieldname1, fieldname2, fieldname3, fieldname4) - fieldname1 is underlined to show it is a primary key Please note: make sure each table does not contain any unnecessary repetition and errors. Make sure each table has a unique identifier (Primary key, Composite key). Underline the primary or composite key.
Expectations: 1. Normalize the data, provide rationale for the tables you create, create the relational tables that you identified as part of the normalization process using appropriate SQL/DDL, insert the data into the tables using SQL/DDL, create queries as indicated using SQL/DML Aim: To review Relational concepts including normalization and SQL coding. Customer Alice Address 13-14 5th Ave Ordered Amount Priceperunit Onhand Plums 40 1 100 Vendor Very Fresh Alice 1314 5th Ave Oranges 30 3 300 Garden Heaven Alice 13-14 5thAve Pears 10 4 400 Produce One Alice 1314 5th Avenue Oranges 40 3 300 Garden Heav. Bill 55 Mapel Drive Apples 50 2 200 Very Fresh Bill 55 Maple Drive Bananas 100 5 500 Garden Heaven Bill 55 Maple Dr. Bananas 100 5 500 Caitlin 1 Oak Road Apt. 3A Plums 40 1 100 Caitlin 1 Oak Rd. Ap. 3A Plums 40 1 100 V. Fresh Elizabeth Laura 16 Sunshine Lane Kiwi 30 7 700 66 East 4th Street Grapes 60 6 600 Garden Hyn Very Fresh Veggie Heaven Veggie Haven Laura 66 East 4th Street Apples 10 2 200 Very Fresh SECTION One-Normalize the table above ° ° ° о using the methods taught in class and also the readings/videos assigned for this week split the table into separate tables. Identify the primary, secondary (foreign) and/or composite keys Using the example given below as your guide, document each table you created after you have normalized the data in this manner. EXAMPLE: Tablenamel (fieldname1, fieldname2, fieldname3, fieldname4) - fieldname1 is underlined to show it is a primary key Please note: make sure each table does not contain any unnecessary repetition and errors. Make sure each table has a unique identifier (Primary key, Composite key). Underline the primary or composite key.
Database Systems: Design, Implementation, & Management
11th Edition
ISBN:9781285196145
Author:Steven, Steven Morris, Carlos Coronel, Carlos, Coronel, Carlos; Morris, Carlos Coronel and Steven Morris, Carlos Coronel; Steven Morris, Steven Morris; Carlos Coronel
Publisher:Steven, Steven Morris, Carlos Coronel, Carlos, Coronel, Carlos; Morris, Carlos Coronel and Steven Morris, Carlos Coronel; Steven Morris, Steven Morris; Carlos Coronel
Chapter11: Database Performance Tuning And Query Optimization
Section: Chapter Questions
Problem 2P: Problem 1 and 2 are based on the following query: SELECT EMP_LNAME, EMP_FNAME, EMP_AREACODE, EMP_SEX...
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