Programming
IT 650 SNHU Wild Wood Apartments Database Data Model Essay

IT 650

Southern New Hampshire University

IT

Question Description

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Submit the enterprise data model, operating rules, and rule reflection for the selected group or department.


For additional details, please refer to the Final Project Guidelines and Rubric document and the Milestone Four Rubric document.


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IT 650 Final Project Guidelines and Rubric Overview The final project for this course is the design and proposal of a database management system (DBMS) solution. You will select a case study from those provided, analyze the organizational issues and needs, and work your way through the conceptual, logical, and physical designs of a DBMS solution. This will require substantial research of best practices in design, available products, and the legal and ethical standards to which you must adhere during design. The skills required in this assessment will be valuable in the role of an IT manager or DBMS professional, as these individuals are often tasked with developing solutions to various organization data problems while also adhering to legal, ethical, and financial considerations. The ability to craft and present professional and logical proposals will also be expected of IT professionals, especially those at the management level. You will use Visio or a comparable tool to illustrate design models and will also have access to Microsoft SQL for implementation of the DBMS design or solution. While the length of the proposal will depend on many factors (including the type of organization, the scope of the identified challenge, and operational requirement differences), it should be long enough to address all aspects of the prompt accurately and comprehensively without unnecessary detail. The project is divided into four milestones, which will be submitted at various points throughout the course to scaffold learning and ensure quality final submissions. These milestones will be submitted in Modules Two, Four, Five, and Seven. The final submission will occur in Module Nine. In this assignment, you will demonstrate your mastery of the following course outcomes:       Construct and refine conceptual and logical models that include the necessary entities, relationships, attributes, and business rules for solving database management issues Evaluate and recommend database products that address requirements for given business scenarios Articulate the differences in data and database security needs for various organizational computing environments to align to organizational needs Develop enterprise database management system models that accurately reflect fundamental organizational operating rules Create physical designs that account for organizational application, hardware, network, operating system, and data communications requirements Determine best practices for ensuring ethical and legal compliance for data usage and storage based on established industry-wide information technology standards and regulations Prompt Based on the real-world case you selected, design and propose a DBMS solution that meets the organizational requirements while adhering to design best practices, legal regulations, and ethical standards. Specifically, the following critical elements must be addressed: I. Organization A. Problem: Analyze the organization to determine the problem/challenge, business requirements, and limitations of current system(s). B. Departments and Operations: Explain how the various departments and operations within the organization are impacted by the issue or challenge II. Analysis and Design A. Conceptual Model: Based on the business problem or challenge, devise a conceptual model that would best address the problem. Your model should include all necessary entities, relationships, attributes, and business rules. B. Logical Model: Based on the conceptual model, illustrate a logical model for your DBMS that accurately represents all necessary aspects of the DBMS to address the solution. C. Physical Design: Create a physical database design that builds on the nonphysical (conceptual and logical) models you crafted. III. DBMS A. Research: Research the various DBMS products available for your scenario and compare the top contenders to highlight similarities and differences. B. Analysis: Analyze these database products for their appropriate uses, strengths, and weaknesses in comparison with the needs of your organization. C. Recommendation: Recommend and defend the best DBMS product(s) for fully addressing the broad, high-level technological and operational needs of the organization. D. Hardware, Software: Recommend and justify needed software and hardware to fully meet operational applications in various departments. These will supplement the DBMS product you recommend to fully meet specific needs or requirements left open by the DBMS product. IV. Data Model: For the three sections of this element, you will focus on a particular group or department within the organization (such as Sales or Customer Service). A. Enterprise Data Model: Develop and illustrate a comprehensive enterprise data model for the selected group. B. Operating Rules: Articulate the operating rules within the group to allow for an applicable model. C. Rule Reflection: Assess the extent to which your data model reflects the operating rules of the organization. V. Law, Ethics, and Security A. Standards: Articulate the relevant legal and ethical standards that need to be considered in your solution design and in future implementation. B. Legal Compliance: Determine the best practices in design, data use, and storage to ensure legal compliance. The regulations in place and the best practices for aligning operations will likely change depending on the type of industry in which your company resides. Support your conclusions with research support. C. Ethical Practices: Determine best practices in design, data use, and storage to ensure the ethical operation of your company. These best practices will likely change depending on the industry in which your company resides. Support your conclusions with research support. D. Security Needs of Solution: In consideration of the type of organization you selected, the data used, and your consideration of legal and ethical standards, discuss the security needs of your DBMS solution. Considering the group/department for which you constructed your enterprise data model, discuss the differences in security needs at this level in comparison with those of the company as a whole. E. Database Security Plan: Given the comparisons and discussions above, recommend a comprehensive but high-level (pertaining to the solution as a whole rather than the particular department) security management plan for your design that will align to organizational needs. Milestones Milestone One: Analysis of Organization In Module Two, you will submit an analysis of the organization that will use the database developed for the final project. Select one of the scenarios provided for the final project. Using the selected scenario, analyze the organization to determine the problem/challenge, business requirements, and limitations of the current system(s). Explain how the problem or challenge impacts the various departments and operations within the organization. This milestone will be graded with the Milestone One Rubric. Milestone Two: Database Analysis and Design In Module Four, you will submit the preliminary design of the database for the final project. Devise a conceptual model that will best address the scenario you selected for the final project. Your model should include all necessary entities, relationships, attributes, and business rules. Based on the conceptual model, illustrate a logical model for your DBMS that accurately represents all necessary aspects of the DBMS to address the solution. Create a physical database design that builds on the nonphysical (conceptual and logical) models you crafted. This design includes the conceptual and logical models of the database, as well as the physical design of the database. This milestone will be graded with the Milestone Two Rubric. Milestone Three: DBMS Research and Recommendation In Module Five, you will submit research and analysis of available database management systems to host the database, as well as a recommendation for the specific database management systems for the database. Research the various database management system (DBMS) products available for your scenario and compare the top contenders to highlight similarities and differences. Analyze these database products for their appropriate uses, strengths, and weaknesses in comparison with the needs of your organization. Recommend and defend the best DBMS product(s) for fully addressing the broad, high-level technological and operational needs of the organization. Recommend and justify needed software and hardware to fully meet operational applications in various departments. These will supplement the DBMS product you recommend to fully meet specific needs or requirements left open by the DBMS product. This milestone will be graded with the Milestone Three Rubric. Milestone Four: Database Data Model In Module Seven, you will submit a detailed data model of the database with analysis and justification based on a specific group or department within the organization. Select one particular group or department (such as Sales or Customer Service) within the organization in your chosen scenario from Hands-On Database. Then develop and illustrate a comprehensive enterprise data model for the selected group. Articulate the operating rules within the group to allow for an application model. Assess the extent to which your data model reflects the operating rules of the organization. This milestone will be graded with the Milestone Four Rubric. Final Project Submission: Law, Ethics, and Security Plan and Database Management System In Module Nine, you will submit the legal and ethical considerations relative to the database and include a security plan that addresses the legal and ethical considerations. Articulate the relevant legal and ethical standards that need to be considered in your solution design and in future implementation. Determine the best practices in design, data use, and storage to ensure legal compliance. The regulations in place and the best practices for aligning operations will likely change depending on the type of industry in which your company resides. Support your conclusions with research support. Determine best practices in design, data use, and storage to ensure ethical operation of your company. These best practices will likely change depending on the industry in which your company resides. Support your conclusions with research support. In consideration of the type of organization you selected, the data used, and your consideration of legal and ethical standards, discuss the security needs of your DBMS solution. Considering the group/department for which you constructed your enterprise data model (Milestone Four), discuss the differences in security needs at this level in comparison with those of the company as a whole. Given the comparisons and discussions above, recommend a comprehensive but high-level (pertaining to the solution as a whole rather than the particular department) security management plan for your design that will align to organizational needs. You will submit this law, ethics and security plan as part of your completed database management system. This should be a complete, polished artifact containing all of the critical elements of the final product. This will include the materials developed in all of the milestones, as well as the Law, Ethics, and Security plan. Your final submission should reflect the incorporation of feedback gained throughout the course. This submission will be graded with the Final Project Rubric. Deliverables Milestone 1 Deliverable Analysis of Organization Module Due Two Grading Graded separately; Milestone One Rubric 2 Database Analysis and Design Four Graded separately; Milestone Two Rubric 3 DBMS Research and Recommendation Five Graded separately; Milestone Three Rubric 4 Database Data Model Seven Graded separately; Milestone Four Rubric Final Submission: Law, Ethics, and Security Plan and Database Management System Nine Graded separately; Final Project Rubric Final Project Rubric Guidelines for Submission: Your final project submission should be a complete, polished artifact that incorporates all of the pertinent documents from each of the four milestones. This is an opportunity for you to pull all of your work from the term together into one complete project. This database management system design proposal should not only be an organized, neat compilation of your previous work, but it should also reflect the incorporation of any feedback gained throughout the course. Please use 12-point Times New Roman font, double spacing, and one-inch margins. Citations should be formatted according to APA style. Critical Elements Organization: Problem Exemplary Meets “Proficient” criteria and evidences keen insight into identifying key aspects of complex, multifunctional data challenges (100%) Proficient Analyzes the organization to highlight the problem or challenge, business requirements, and limitations of current systems (90%) Organization: Departments and Operations Meets “Proficient” criteria and shows in depth knowledge of the intricacies, interrelationships, or interdependencies between data challenges and departments and operations (100%) Accurately explains the how the various departments and operations within the organization are impacted by the issue or challenge (90%) Needs Improvement Analyzes the organization to highlight the problem or challenge, business requirements, and limitations of current systems, but lacks necessary detail (70%) Explains the how the various departments and operations within the organization are impacted by the issue or challenge, but with gaps in accuracy or detail (70%) Not Evident Does not analyze the organization to highlight the problem or challenge, business requirements, and limitations of current systems (0%) Value 5.28 Does not explain the how the various departments and operations within the organization are impacted by the issue or challenge (0%) 5.28 Analysis and Design: Conceptual Model Meets “Proficient” criteria, and model evidences detailed attention or keen insight into conceptual design needs and skills (100%) Devises a comprehensive conceptual model that would logically address the identified problem (90%) Analysis and Design: Logical Model Meets “Proficient” criteria and evidences keen insight into representation, communication, or depiction of logical model design needs for business scenarios (100%) Meets “Proficient” criteria and exemplifies the knowledge and skills necessary to extrapolate a physical design from nonphysical models for solving data challenges (100%) Meets “Proficient” criteria and evidences keen insight into the wider business contexts and needs during comparison (100%) Meets “Proficient” criteria and evidences systems-level perspective or analysis is of quality to support or qualify possible recommendations (100%) Meets “Proficient” criteria and evidences innovative, creative, or exceptionally defended recommendations beyond the general approach for solving the type of challenge (100%) Illustrates an accurate logical model that details the necessary aspects of the DBMS needed to address the business needs and identified problem (90%) Creates a physical design that precisely builds on the nonphysical models with incorporation of physical aspects (90%) Analysis and Design: Physical Design DBMS: Research DBMS: Analysis DBMS: Recommendation Devises a conceptual model that does not attend to all necessary entities, relationships, attributes, and business rules or would not logically address the identified problem (70%) Illustrates a logical model that lacks accuracy or necessary detail regarding aspects of the DBMS needed to address the business needs and identified problem (70%) Creates a physical design that builds on the nonphysical models with incorporation of physical aspects, but with a lack of precision (70%) Does not devise a conceptual model (0%) 5.28 Does not illustrate a logical model (0%) 5.28 Does not create a physical design that builds on the nonphysical models with incorporation of physical aspects (0%) 5.28 Compares relevant and applicable DBMS products to highlight similarities and differences based on research (90%) Analyzes the database products for their appropriate uses, strengths, and weaknesses in comparison with the needs of the organization (90%) Compares DBMS products that are not relevant or applicable to the scenario, or does not base comparison on research (70%) Does not compare DBMS products (0%) 5.28 Analyzes the database products for their appropriate uses, strengths, and weaknesses but not in comparison with the needs of the organization (70%) Does not analyze the database products for their appropriate uses, strengths, and weaknesses (0%) 7.91 Recommends and defends the best DBMS product(s) for fully addressing the technological and operational needs of the organization (90%) Recommends and defends product(s) for addressing the technological and operational needs of the organization, but there are other, more appropriate choices or recommendation would not fully address organizational needs (70%) Does not recommend and defend product(s) for addressing technological and operations needs of the organization (0%) 7.91 DBMS: Hardware, Software Data Model: Enterprise Data Model Meets “Proficient” criteria and evidences organizational perspective to consider departments, operations, or future needs and growth (100%) Meets “Proficient” criteria and evidences keen ability to narrow the enterprise/organizational perspective to the needs of key operational groups to ensure needs are met (100%) Data Model: Operating Rules Data Model: Rule Reflection Law, Ethics, and Security: Standards Law, Ethics, and Security: Legal Compliance Law, Ethics, and Security: Ethical Practices Meets “Proficient” criteria and evidences keen insight into complexities, intricacies, and nuances of departmental operating rule applications (100%) Meets “Proficient” criteria and pays particular attention to the product approaches to scalability (personal vs. mobile vs. department vs. enterprise) (100%) Meets “Proficient” criteria and evidences keen insight into interpreting and applying legal standards to real-world cases (100%) Meets “Proficient” criteria and evidences keen insight into interpreting and applying legal standards to real-world cases (100%) Recommends and justifies needed software and hardware to complete physical design and fully meet operational applications in various departments (90%) Develops and illustrates a comprehensive enterprise data model that meets the general operational and technological needs of the selected group (90%) Recommends and justifies software and hardware additions that are not needed or would not fully satisfy operational applications in various departments (70%) Develops and illustrates an enterprise data model that would not meet the general operational and technological needs of the selected group, or lacks necessary detail (70%) Does not recommend and justify software and hardware additions to the DBMS product (0%) 5.28 Does not develop and illustrate an enterprise data model for the selected group (0%) 5.28 Articulates the operating rules within the group to establish basis for the model (100%) Articulates operating rules within the group but lacks detail, full representation, or clarity needed to establish basis for the model (70%) Assesses the extent to which the data model reflects the operating rules of the organization with gaps in accuracy or detail (70%) Does not articulate operating rules within the group (0%) 5.28 Does not assess the extent to which the data model reflects the operating rules of the organization (0%) 5.28 Articulates legal and ethical standards inaccurately, or standards are not r ...
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Final Answer

Attached.

Running Head: WILD WOOD APARTMENTS DATA MODEL

Wild Wood Apartments Data Model
Anjyla Morrison
Southern New Hampshire University
March 22nd, 2020

1

WILD WOOD APARTMENTS DATA MODEL
Enterprise Data Model
Enterprise Data Model (EDM) provides an integrated view of the organization’s data and
the relationships between these data. The purpose of Enterprise Data Modelling is to provide
access to a huge chunk of data across different departments of an organization (Learndmdwbi,
2015).
The benefits of Enterprise Data Modelling is to eliminate data redundancy and anomalies,
reinforce data consistency and accuracy which in turn ...

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