This Is Exactly What I Have To Do For My Assignment Can Anyo
This Is Exactly What I Have To Do For My Assignment Can Anyone Do Thi
1. Indentify all entities that you would need to track data about for the business case (people, places, things, or events) and list them. 2. Could you use a spreadsheet to keep track of this data? What would be the advantages and disadvantages of doing so? 3. Using Visio or any other drawing software, draw the ERD (attributes, entities, relationships and cardinalities e.g., one-to-one, one-to-many) of the database used to support the operations of the business described in the case. The ERD should identify primary keys and foreign keys. 4. Create the data dictionary for your complete data model (Please see attached template datadictionaryTemplate.xls so you can see an example on how to create a data dictionary). 5. Write 2 queries (in SQL or plain English) that a manager could answer using this database. Your queries must each imply the use of at least three tables. 6. Please identify the DMBS technology that you would use to implement the database. Please justify your selection. 7. Your work will be graded based on the rubrics attached (assignment2Rubric.xls). Please check the rubric so you can see how this work will be assessed.
Paper For Above instruction
The development of a comprehensive database system tailored to support a business's operations involves multiple critical steps, from identifying key data entities to selecting appropriate technology. This paper delineates these steps systematically, emphasizing the importance of accurate data modeling, effective storage solutions, and strategic technology choices. The process begins with the identification of relevant data entities—people, places, things, or events—that are fundamental to the business case. Understanding these entities enables the creation of a structured data environment capable of supporting operational and decision-making needs.
In the context of data tracking, utilizing spreadsheets can be an initial method for recording and managing data. Spreadsheets offer simplicity, accessibility, and ease of use, making them suitable for small-scale data management or preliminary analysis. However, they present significant disadvantages as the business grows, including limited scalability, data redundancy, difficulty maintaining data integrity, and challenges in handling complex relationships between data entities. Therefore, while spreadsheets can serve as a starting point, transitioning to a dedicated database management system (DBMS) becomes essential for robust, scalable, and consistent data management.
Designing an Entity-Relationship Diagram (ERD) is a critical step in database modeling. Using diagramming tools like Visio or similar software, the ERD visually represents entities, attributes, and the relationships between entities, including cardinalities such as one-to-one or one-to-many. In the ERD, primary keys uniquely identify each entity instance, while foreign keys establish relationships between tables. This visual model facilitates understanding of the data structure, ensures data integrity, and guides the subsequent creation of the database schema.
Complementing the ERD, a data dictionary provides a detailed description of each data element within the database. The data dictionary includes information such as data types, formats, allowable values, and field descriptions. Following a standardized template, the data dictionary ensures clarity and consistency across the database development process. It serves as a vital reference for database designers, developers, and users, promoting effective data management and communication.
For practical application, generating specific queries that draw insights from the data is essential. These queries, whether written in SQL or plain English, should involve at least three tables, demonstrating the interconnectedness of data. For example, a query could retrieve customer orders along with product details and shipment statuses, providing actionable information for management. Developing such queries tests the robustness of the data model and its ability to support real-world decision-making.
Finally, selecting an appropriate Database Management System (DBMS) is crucial. The choice depends on factors such as scalability, performance, cost, availability of features, and compatibility with existing systems. Justifying the selected DBMS involves analyzing how its capabilities align with the business requirements, including data volume, transaction complexity, security, and future growth considerations. A strategic technology decision ensures that the database supports business operations efficiently and reliably.
In conclusion, building an effective database system for business support involves detailed planning and execution across data identification, design, modeling, querying, and technology selection. Each step contributes to creating a data environment that enhances operational efficiency, decision-making accuracy, and scalability, ultimately supporting the success of the business enterprise.
References
- Elmasri, R., & Navathe, S. B. (2016). Fundamentals of Database Systems (7th ed.). Pearson.