Running Head Database Project 1 And Project 6 Name Of The

Running Head Database Project1database Project 6name Of The Datab

DATABASE PROJECT 6 Name of the database The Pet Database The Purpose of the database Name of the database The Pet Database The Purpose of the database When it comes to the purpose of a database, the consideration made is mainly the kind of data that need to be collected. A vet doctor may need to run a database that identifies the pets and their owners whenever they visit the clinic. The pet database will collect data on various aspects of the pets and their owners. The data collection details will include details such as pet type, color, age, Pet ID, owner email, phone number, location, and membership categories. An entity refers to a place, person, or other things about which data can be collected.

The entities are the building blocks that of the database. For this design, the entity will only be two and will have various attributes as follows. The attributes used will help distinguish one pet from the other. 1. Pet [ pet type, age, color, pet ID] 2. Owner [ Owner ID, email, phone number, location, membership] It means that tables in the pet database will include: i. PET table ii. OWNER table Due to the fact that there will be many pets that visit the clinic, the pet table will include numerous records of all types (rows) and their attributes, which will be represented by the columns the database holds. A table will look like shown below. Pet Type Color Age Pet ID Rabbit White 7 months P31 Hedgehog Brown 9 months P32 Ferret Grey 11 months P33 Dog Black 23 months P34 As was noted in the text, the primary function of a database is to enable the search through data and gather important information. The search process usually involves sifting through bunches of information and in the event that such items cannot be differentiated from the other, it means there is no way important information will be extracted (Connolly & Begg, 2015). The database tables should contain records, referred to as rows, which must be differentiated from each other as shown in the table above. On the other hand, identifying a particular column that is able to uniquely differentiate rows in the able is considered a key element. The attribute is commonly referred to as a primary key. In this database, the pet type is considered the primary key as the other two columns cannot be considered as unique identifiers. The Question to be Processed by the Database The data question that the database should be able to run is: i. “Phone Number for Pet ID.†The goal of the question is to enable the vet find the details of the owner of a particular pet. Already, all pets will have tags with IDs on them, hence the vet will only need to run the ID on the database, and find the details about the owner. Users and Administrators The vet will be the administrator, meaning he will have the central control of the database. He will be responsible for the creation of new tables depending on the changing needs of the organization. Also, the administrator will carry out different types of authorization in a bid to regulate which parts of the database, the users can have an access to. The authorization is important in ensuring key information is not accessed by the users. On the other hand, the vet’s assistants are considered the users. They will interact with the system without writing any programs. However, they can write requests that will be run by the database, and the required results provided. How Information would be Recorded and Used without a Database Without a database, the information can be collected through the use of spreadsheets where information is fed in the columns and rows. This information will be in a table format, and will identify the attributes of the pets, and the owner. However, it means that any searches will be done manually where the spreadsheet content is searched through to find the required information. This can be tiresome may sheets are created. On the other hand, the vet clinic can use traditional filing system where a large file will be used for creating tables detailing the attributes of the pets and the owner. Also, when such a system is used, the retrieval of information will be challenging. The Relationships between Entities The relationship between entities is one-to-many, which means that a single row in table A can be linked with multiple rows in table B, but a single row in B is only linked with a single row in A (Lemahieu, Seppe & Baesens, 2018). The diagram below indicates the relationships between the entities. Pet Type Pet ID Dog Rabbit Pet ID Owner Phone Email Location Owner ID References Connolly, T., & Begg, C. (2015). Database Systems: A Practical Approach to Design, Implementation, and Management (6th ed.). Upper Saddle River , New Jersey: Pearson Education, Inc. Lemahieu, W., Seppe, B., & Baesens, B. (2018). Principles of Database Management. London, UK: Cambridge University Press.

Paper For Above instruction

The Pet Database: Designing an Efficient Database for Veterinary Clinics

The modern veterinary clinic relies heavily on effective data management to provide high-quality care, streamline operations, and facilitate quick access to essential information. A well-designed pet database serves as the backbone of such operations, allowing veterinary professionals to access, update, and manage pet and owner information efficiently. This paper explores the development of a pet database, focusing on its purpose, structure, relationships, and functionality, demonstrating how it enhances clinical workflows.

Introduction

In any veterinary setting, accurate record-keeping is crucial for ensuring the well-being of animals and maintaining communication with pet owners. Traditional methods, such as manual record books or spreadsheets, are increasingly inadequate due to their inefficiency and susceptibility to errors. A relational database system offers a scalable, reliable, and accessible solution, capable of supporting the growing data needs of modern clinics. The primary objective of this project is to develop a pet database that captures essential information about pets and their owners, facilitating swift retrieval of data when needed.

Purpose of the Database

The core purpose of the pet database is to store comprehensive data on pets and their owners, enabling quick search and retrieval operations. It records vital details such as pet type, age, color, Pet ID, owner contact information (email, phone number), location, and membership categories. Such information is essential for identifying pets during visits, managing vaccination schedules, and tracking medical histories. The database aims to streamline workflows in veterinary clinics by reducing manual search efforts, minimizing errors, and ensuring data consistency.

Database Entities and Attributes

The fundamental units of data in this system are entities—distinct objects or concepts about which information is stored. For this project, two main entities are defined: Pet and Owner. Each entity comprises various attributes that describe its unique aspects. The Pet entity includes attributes like Pet Type, Age, Color, and Pet ID, whereas the Owner entity contains Owner ID, Email, Phone Number, Location, and Membership category.

Pet Entity Attributes

• Pet Type
• Age
• Color
• Pet ID (unique identifier, primary key)

Owner Entity Attributes

• Owner ID (primary key)
• Email
• Phone Number
• Location
• Membership

The database will feature two corresponding tables: PET and OWNER, with the PET table holding pet records identified primarily by Pet ID, which serves as the primary key, ensuring each pet record is uniquely identifiable.

Data Retrieval and Queries

A key function of the database is to enable efficient searches and data retrieval. For instance, veterinarians might need to find a pet owner’s phone number based on a Pet ID. To facilitate this, the system will execute queries that match Pet ID with the owner’s contact details. This improves service quality by enabling quick communication and efficient record management.

Roles and User Access

The database system involves different user roles, primarily the veterinarian and vet assistants. The veterinarian functions as the administrator, with authority to create, modify, and oversee the entire database, including user permissions. Vet assistants are regular users who can browse and execute search queries but cannot alter the database structure. Proper authorization protocols are critical to maintaining data integrity and confidentiality.

Data Entry Without a Database

Before the advent of database systems, veterinary clinics relied on manual methods such as spreadsheets or physical filing systems to record pet and owner data. These approaches pose significant challenges including time-consuming data retrieval, higher risk of errors, and difficulty maintaining data consistency. Manual search processes can be inefficient, especially as the volume of records grows, emphasizing the need for digital solutions.

Relationships Between Entities

The relationship between the Pet and Owner entities is one-to-many: an owner can have multiple pets, but each pet is associated with a single owner. This relationship enables efficient data organization and retrieval, where a single owner record in the OWNER table can be linked to multiple pet records in the PET table via foreign keys. This relational structure supports complex queries such as retrieving all pets belonging to a specific owner or locating owner contact details given a pet’s ID.

Conclusion

In conclusion, developing a robust pet database enhances the operational efficiency of veterinary clinics by ensuring quick access to vital data. Correctly defining entities, attributes, and relationships lays the foundation for a reliable system that caters to evolving organizational needs. By replacing manual record-keeping with a relational database, clinics improve data accuracy, security, and accessibility, ultimately providing better care for animals and improved service for their owners.

References

• Connolly, T., & Begg, C. (2015). Database Systems: A Practical Approach to Design, Implementation, and Management. Pearson Education.
• Lemahieu, W., Seppe, B., & Baesens, B. (2018). Principles of Database Management. Cambridge University Press.
• Elmasri, R., & Navathe, S. B. (2015). Fundamentals of Database Systems. Pearson.
• Database System Concepts. McGraw-Hill Education.
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• Harrington, J. L. (2016). Relational Database Design and Implementation. Morgan Kaufmann.
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