Project 1: NCAA Database Tournament Objective ✓ Solved

PROJECT 1: NCAA DATABASE TOURNAMENT OBJECTIVE

The purpose of this project is to demonstrate your understanding of the following course concepts: 1. Creating an Access database. 2. Managing a database. 3. Create and modify tables. 4. Modify field properties. 5. Defining table relationships.

For many years people have been following the NCAA tournament. Since there is a need to have this information readily accessible, we need to convert a previous paper-based system into a stored database. We will do this using an Access database. The first step in this conversion is dividing the information into different tables. You will be creating a NEW database from scratch. This activity and all those associated with it are for you to go through creating a database and to review all tasks associated with doing so.

Please take heed to do everything exactly as it is given including saving with the correct file names. Based on what you have learned in the lessons, you should have found out that even spelling has to be accurate in MS Access.

Instructions for Creating the Database

1. Create a new MS Access database. Save it using the protocol: lastname_NCAA (e.g., Henry_NCAA). Modify the database based on the instructions, save your work, and submit the completed file to your Assignments Folder.

2. Import the Teams.xlsx file as a new table to your database. Ensure the first row contains column headings and make the “Team Name” field your primary key. Save the table as Teams and close it after importing.

3. Create a new table with the fields: Conference (Text, Primary Key) and Team Name (Text, Short Text). Save this table as Conferences.

4. Enter the information about NCAA Conferences into the Conferences table.

5. Create another table with the fields: LastName (Text, Primary Key), Position (Lookup Wizard with Guard, Forward, Center), Team Name (Text, Size of 20), PPG (Number, Double), Rebounds (Number, Double). Save it as Players.

6. Enter information for 10 players in the Players Table using names and information from at least five teams from the Teams Table.

Establishing Relationships Between Tables

1. Open the Relationship button on the Database tools tab and add all three tables: Teams, Conferences, and Players.

2. Create a One-to-Many relationship between the Teams table and the Players table using the TeamName field.

3. Create a relationship between the Teams table and the Conference table using the “Conference” field, ensuring a One-to-Many relationship with Referential Integrity enforced.

4. Save the changes and close the Relationships Window.

Submission Requirements

1. Submit the completed Access database file.

2. Submit a Project Reflection answering: 1. What were some roadblocks you encountered while completing this assignment? 2. What is the most important thing you have learned from completing this assignment? The reflection can be submitted as a Microsoft Word document or pasted in the text box of your Assignments Folder.

Paper For Above Instructions

The NCAA tournament has long been an annual spectacle in the United States, captivating millions of fans and enthusiasts. With the extensive data associated with this event, it is imperative to have a structured system for managing this information. The objective of this project is to develop a comprehensive Access database that not only stores essential teams' data but also relates this information effectively using established database management principles.

The first step in this project involves creating a new MS Access database. This task initiates a structured approach to database management by allowing the user to define a dataset essential for sports management, specifically NCAA basketball teams. This new database will be saved following the prescribed naming convention, which ensures consistency and ease of identification within the academic environment. After the database is created, the next critical operation is to import the Teams.xlsx file as a new table. This step necessitates precision; ensuring that the first row of the spreadsheet corresponds to column headers and appropriately establishing the “Team Name” field as the primary key is vital for preventing data redundancy and maintaining data integrity.

Creating structured tables such as "Teams," "Conferences," and "Players" is the crux of this database project. Each table must reflect specific data attributes that serve to differentiate one set of data from another. For example, the "Conferences" table will include fields for Conference names and associated team names, which helps categorize the teams efficiently based on their respective leagues. Entering data into these fields must be executed meticulously, particularly in the Conferences table where precise spelling and accurate team affiliations are necessary to ensure a reliable database interface.

Once the data has been structured and entered into the tables, establishing relationships between these tables represents a significant advance in database management strategy. The establishment of a One-to-Many relationship between the Teams and Players tables allows for a detailed representation of how multiple players can be associated with a single team. This relationship design is a crucial aspect of database theory; it promotes normalization and ensures that changes in one part of the database will not lead to inconsistencies elsewhere.

Furthermore, enforcing referential integrity in the relationships between tables underlines the significance of data accuracy; this ensures that all players are associated with valid and existing team records. This step is particularly important as it prevents orphan records and enhances the reliability of queries and data retrieval operations that might be conducted later.

Throughout the project, there are several roadblocks that may arise. For instance, accurately importing data while retaining its structure can become challenging, particularly with large datasets. Users may experience difficulties ranging from mismatched field types to incorrectly formatted data entries. Furthermore, ensuring spelling accuracy and adhering to the specifications for primary keys can be a meticulous task that requires diligent attention to detail.

Despite these challenges, the most significant learning outcome from this project is the understanding and appreciation of how effective database management can streamline the process of accessing and managing information. The creation of structured relationships between tables not only simplifies data retrieval but also enhances analytical capabilities. This understanding extends beyond this project; it lays the groundwork for more complex data management scenarios in various fields, including sports administration, academic record keeping, and relational database design.

References

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