Project #26541 - Database

hi I am Sandy . The following are my database project requirements

Below is a written summary of its requirements

 

This mini-project is a database design and redesign task. Each team is asked to find a unique set of environmental monitoring data released by government agencies or nongovernment organizations. The data domain should impact human health conditions. Examples include water and soil pollution monitoring data released by US Environmental Protection Agency (www.epa.gov), chemical and toxical plants across the nation released by US Department of Defense (www.defense.gov) and Department of Energy (www.doe.gov), as well as U.S. Census Bureau (www.census.gov), to name a few. The only environmental dataset that you CANNOT use in your project is the air quality index dataset released by EPA because it has been carefully organized and made available to the public by EPA.

 

Executing the project involves performing the following four task steps.

 

Step 1. You are expected to download the raw datasets from one or multiple places of your choice.

Step 2. After examining the data characteristics exhibited by the dataset, you are asked to propose a data model suitable for capturing the data elements and their relationships.

Step 3. Implement your proposed data model through (re-)organizing your downloaded data using a DBMS of your familiarity. NJIT software library offers licenses of multiple DBMS products that you can get for free as a registered student. MS SQL server is recommended but not required.

Step 4. Create a brief project report (no length requirement imposed) addressing the following grading criteria: 1) the size of the datasets you manage to (re-)organize in your project; 2) the clarity and logic soundness of the database model design you propose for the data management problem, including the business rules you choose to model and implement in your database design; 3) how you handle missing and unexpected data elements in the dataset; 4) the data querying performance you can accomplish via using an DBMS of your choice over your established dataset.

 

Subject Computer
Due By (Pacific Time) 04/04/2014 12:00 pm
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