Csci 2215 Introduction To Databases Fall 2015 Homework And A

Csci 2215 Introduction To Databases Fall 2015homework And Assignment

Identify the core assignment questions or prompts, removing any meta-instructional text, repetition, or extraneous details. The remaining instructions should be the specific tasks or questions assigned to the student, presented clearly and concisely.

Paper For Above instruction

Analyze and design relational database schemas, enforce constraints using a chosen DBMS, perform data manipulation and integrity checks, and create supporting programs for constraint validation and SQL statement execution, based on coursework instructions for a university and company database scenario.

Specifically, you will:

  1. Define primary and foreign keys in an order-processing database schema.
  2. Create and populate a relational table with foreign key constraints, demonstrating enforcement of primary key and foreign key violations.
  3. Construct a university database schema including students, courses, departments, and transcripts, enforcing key constraints and populating with sample data, while stating any assumptions.
  4. Analyze a given relational instance for integrity constraint violations following specified operations.
  5. Implement and document SQL operations (queries, updates), including showing before and after table states, and create forms/reports, with supporting code and files for a database related to a company's parts, orders, and employees.
  6. Answer conceptual questions about database normalization and constraints, and develop programs (in your language of choice) to verify database constraints and interpret SQL SELECT statements.

All tasks involve designing schemas, enforcing constraints, populating data, testing violations, and implementing auxiliary programs, with documentation and proper submission (hard copies, labeled files, and code) as specified.

Paper For Above instruction

Designing a robust and integrity-maintaining relational database schema demands meticulous planning and a comprehensive understanding of constraints and data relationships. In the context of a university database, careful identification of primary keys (PKs) and foreign keys (FKs) is vital to ensure data consistency, referential integrity, and accurate representation of complex relationships among students, courses, departments, and transcripts. This process involves entity identification, normalization to eliminate redundancy, and explicit declaration of constraints, which safeguard against data discrepancies.

The initial step involves modeling entities such as students, courses, departments, and transcripts, assigning unique identifiers—student IDs, course numbers, department codes—that serve as primary keys. For instance, each student must have a unique student ID, each course a unique course number, and each department a unique department code. These unique identifiers become the foundation for establishing relationships across entities.

Implementing the schema within a DBMS like Microsoft Access requires creating tables for each entity, specifying primary keys under the table design view, and setting foreign keys linked to corresponding primary keys, ensuring referential integrity. For the transcripts, a linking table can be used to reflect students' enrollment and grades, with foreign keys pointing to the student and course tables, underscoring the many-to-many relationship.

Populating the database with at least four records per table creates a meaningful sample instance, enabling testing of the constraints. For example, inputting student data with unique IDs, course offerings with unique course numbers, and transcript entries with valid student and course references. These sample data should demonstrate the correct enforcement of all specified constraints, stopping attempts to violate primary key uniqueness or referencing nonexistent foreign keys.

Furthermore, auxiliary programs in your chosen language can perform constraint validation. For example, a program can parse given SQL DDL statements to verify whether the associated instances satisfy constraints like primary key uniqueness and foreign key referential integrity. Such programs facilitate proactive validation, catching violations before data commits.

Additionally, creating a simple SQL interpreter program capable of executing basic SELECT queries on the relational instance aids in understanding how SQL processes data, supporting teaching and verification purposes. It at least interprets SELECT...FROM statements and outputs the corresponding table data, reflecting the result of queries on the database instance.

This comprehensive approach—combining schema design, constraint enforcement, data population, validation tools, and query simulation—ensures consistent, accurate, and reliable database management, fulfilling the core objectives of the coursework in a practical, demonstrable manner.

References

  • Fundamentals of Database Systems. Pearson.
  • Database Systems: Design, Implementation, & Management. Cengage Learning.
  • Database Management Systems. McGraw-Hill.
  • An Introduction to Database Systems. Addison Wesley.
  • Database System Concepts. McGraw-Hill.
  • Paradigms of Artificial Intelligence Programming. Morgan Kaufmann.
  • Foundations of Databases. Addison Wesley.
  • Database Concepts. Pearson.
  • Principles of Database Management. Springer.
  • SQL: The Complete Reference. McGraw-Hill.

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