Name of Project Project Code Employee Number Employee Name…
Name of Project Project Code Employee Number Employee Name Job Title Charge Per Hour Assigned Hours Evergreen 15 101 John G. News Database Designer 105.00 19.4 103 June E. Arbough Elect. Engineer 84.50 23.8 105 Alice K. Johnson* Database Designer 105.00 35.7 106 William Smith Programmer 35.75 12.6 102 David H. Senior Systems Analyst 96.75 23.8 Amber Wave 18 114 Anne Jones App Designer 48.10 24.6 118 James J. French General Support 18.36 45.3 104 Anne K. Ramoras* Systems Analyst 96.75 32.4 112 Darlene Simpson Data Analyst 98.65 44.0 Rolling Tide 22 105 Alice K. Johnson Database Designer 105.00 64.7 104 Anne K. Ramoras Systems Analyst 96.75 48.4 113 Dilbert S. Smith* App Designer 48.1 23.6 111 Jeff Wabash General Support 18.36 22.0 106 William Smith Programmer 35.75 12.8 NOTE: The above table is used to maintain information about all of the employees working on each of the projects. Data shown is for 3 of the projects. The column names are self-explanatory. The * used after name of employee indicates that they have been assigned as Project Manager for that project. The above table is not a relation. A) Evaluate all conditions and specify whether condition is met and not met for it to be a relation. If the condition is not met, briefly explain why condition is not met, and changes necessary. You may copy-paste the table from below to answer your question. [3 points] CONDITION MET (Yes/No) If not met – Explanation and Changes necessary B) Provide the final solution in relational notation in 1NF along with primary key, i.e. RELATION_NAME(col1, col2, col3, ….).. NOTE: The solution should be in 1NF and not 2NF. [2 points]
Read DetailsCustID Cust Type City PostalCode SalesOrderNum Pro…
CustID Cust Type City PostalCode SalesOrderNum ProductID OrderQty LineTotal ProductName ProductLine ProductListPrice 697 S Tooele 84074 SO50270 863 44 639.3717 Full-Finger Gloves, L M 37.99 146 L Seattle 98104 SO67266 869 41 1097.6182 Women’s Mountain Shorts, L A 69.99 697 S Tooele 84074 SO51783 867 40 1259.82 Women’s Mountain Shorts, S A 69.99 546 L Loveland 80537 SO57186 869 40 1259.82 Women’s Mountain Shorts, L A 69.99 546 L Loveland 80537 SO48089 863 39 666.7245 Full-Finger Gloves, L M 37.99 146 L Seattle 98104 SO67266 867 38 1196.829 Women’s Mountain Shorts, S A 69.99 697 S Tooele 84074 SO51783 869 36 1133.838 Women’s Mountain Shorts, L A 69.99 302 S Offenbach 63009 SO51109 864 36 1028.7 Classic Vest, S S 63.5 125 S Stamford 06901 SO46610 863 35 598.3425 Full-Finger Gloves, L M 37.99 315 S Merritt Island 32952 SO46673 863 35 598.3425 Full-Finger Gloves, L M 37.99 Column Name Explanation Column Name Explanation CustID id used for each customer — always 3 digits OrderQty quantity of product ordered Cust Type single letter code for differentiating types of customer LineTotal total charge for product ordered City city of shipping address for order (shortest is 5 letters and longest is 15 letter) ProductName name of product PostalCode zip code of shipping address for order — always 5 digits ProductLine single letter code for differentiating types of products SalesOrderNum unique number for each order – always 2 letters and 5 digits ProductListPrice list price of product ProductID id of each product — always 3 digits The themes for which data is going to be stores are identified are: CUSTOMER, ORDER, PRODUCT and PRODUCT-ORDERED Select ALL columns that belong to the theme for storing products included in orders: PRODUCT-ORDERED . Note: More than one choices is correct. Incorrect choices will be marked negatively
Read DetailsFor the relation HomeOwner below Property(TIN, SSN, PID, Nam…
For the relation HomeOwner below Property(TIN, SSN, PID, Name, mailAdd, mailZip, mailCity, PropAdd, PropZip, PropCity, SqFt, PropTaxAmt) The dependency information is as follows: SSN –> TIN TIN –> Name, mailAdd, mailZip, mailCity PID –> PropAdd, PropZip, PropCity, SqFt, PropTaxAmt mailZip –> OwnerCity PropZip –> PropCity Based on the dependency information, the primary key for the relation should be:
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