Assignment 2- Database Modeling and Normalization

Assignment 2- database manikin and Normalization Dr. Amir Afzal isolated University- CIS 515 August 7, 2012 Abstract Selling high end electronics is big line of credit and being a commissioned employee in that field if your sales atomic number 18 up means big money. Prices for electronics range from the low hundreds into the thousands. It really depends on the person style, specifications they atomic number 18 looking for, trust in the brand, and the depth of their pockets, how some(prenominal) a person is willing to spend for example on a that high definition led plasma television that is 52 inches.No count the cost, businesses want to keep a track of the sales of their employees and how frequently they are channelting salaried. In this case a high-end electronics gunstock wants to streamline selective culture processing to enable them to help determine the commissions pay to employees. Assignment 2- Database Modeling and Normalization Streamlining processes allows r andomness to be available to users across the system. In localise for the finance plane section to be able to pay off the commission pay to employees information that maybe held by other departments much(prenominal) as human resources will be needed.Once the database is complete and has all the information such as employee first and last name, employee ID, yearly salary, commission rate, department, etc, the finance department can then being to try that information. In this case a motion is designed to allow the finance department to determine commissions paid to employees of specific departments. That code will be compared to the code that would show how much total compensation is paid to each employee monthly. Lastly it will be described how larger Data could be used to assist in wareivity and forecasting of organizations increase and resources.Methods After information is gathered close the employee most of what was mentioned before, and input into the system a query can be designed to pull that information from the tables. In order to pull information from tables the SELECT break down is used to determine the information that is needed and the FROM function tells from what tables to pull it (Coronel, Morris & Rob, 2012). The coding that was used to find information on commissions paid to employees was SELECT Employee. * FROM Employee, Invoice WHERE (DepartmentID =2)The asterisk close to employees indicates that all the information at a lower place the employee table was used to generate the search. In this query information was pulled from the employee and throwaway tables. The WHERE function more specifically states the department which can be changed and it would generate saucy information. The query currently only shows employee commission information for employees who hammer in department two (see attachment). If the finance department wanted to find the total compensation paid to each employee in the same month as the first query a s lightly different query would be run to generate that information.The first code simply pulled the information and did not let in and computation because the finance department only request to be able to determine as in pull up the record for employees commission paid. The second code will include computation which will divide the yearly salary by cardinal months then multiples the commission rate by the total amount of product sold and lastly add those two numbers together to get the total compensation for that month. Unfortunately the coding that I am victimisation is not generating a proper result.However, it should look something like this SELECT Employee. EmpNumber, Employee. EmpFirstName, Employee. EmpLastName, Employee. YrlySalary, Invoice. InvAmount, Invoice. InvDate, Employee. CommissionRate FROM Employee intragroup JOIN Invoice ON Employee. EmpNumber = Invoice. EmpNumber WHERE (DepartmentID=2), it is missing the computation part. Big Data could be used to assist in prod uctivity and forecasting of organizations product and resources because it takes large pools of data that can be brought together and analyzed to sleep with patterns and make better decisions.It enhances productivity and creates significant value for the world preservation by reducing waste and increasing the quality of products and servings (Mcguire, 2012). Additionally, Big Data adds value by making information transparent store more transactional data in digital form, and develop the next generation of products and services (Mcguire, 2012). That last aspect of Big Data allows manufacturers are using data obtained from sensors embedded in products to create innovative after-sales service offerings such as proactive maintenance to avoid failures in new products (Mcguire, 2012).References Coronel, C. , Morris, S. , & Rob, P. (2012). Database systems. (10th ed. ). Independence, KY Cengage. Mcguire, T. (2012, July). Why big data is the new competitive advantage. Retrieved from http //www. iveybusinessjournal. com/topics/strategy/why-big-data-is-the-new-competitive-advantage extension A Appendix B