Analyze different approaches to database design

Diploma in Computing and Systems Development - Unit 33 Data Analysis and Design - level 4

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Task 1:

Question 1 Critically compare different data models and schemas.

Question 2- Compare database systems with file based systems and also discuss the benefits and limitations of different database technologies with reference to above scenario

Question 3- Analyze different approaches to database design.

Task 2:

Question 1 - Discuss the principles of normalization and steps followed to achieve normal forms

Question 2 - ER Diagram for English Premier League with all entity sets, attributes and relationships and cardinality constraints

Question 3 - Relational Data Model

Question 4 - Create tables using SQL (DDL) commands

Question 5 - Screenshots from SQL Server Management Studio (IDE)

Task 3:

Question 1 - Benefits of using manipulation and query tools in a relational database system

Question 2 - Populate tables with some data and answer queries

Question 3 - Critically evaluate the validity of the data extracted using the above queries and comment on the design process followed to ensure that meaningful data is extracted through the use of query tools.

Task 4:

Question 1 - Critically review and test the relational database system designed for the given scenario and thus provide a documentation supporting implementation and testing of the relational database system developed.

Question 2 - Create brief user documentation for the relational database system developed.

Question 3 - By giving a tabular V&V document, explain how verification and validation has been addressed.

Question 4 - Explain control mechanisms and show how these techniques have been used in developing your system.

Unit 33 Data Analysis and Design assignment is a crucial part of the Diploma in Computing and Systems Development course. It assesses learners' knowledge and skills in understanding, designing, querying, and implementing database systems.

To complete the assignment successfully, learners must:

• Critically compare different data models and schemas.
• Compare database systems with file-based systems and discuss the benefits and limitations of different database technologies.
• Design and implement a relational database system for a given scenario.
• Write SQL queries to retrieve and manipulate data in the database.

The assignment is typically worth 15 credits and is assessed through a portfolio of evidence. This may include a written report, a database design document, and a SQL query script.

Here are some tips for completing the Unit 33 Data Analysis and Design assignment:

Start by understanding the requirements of the assignment. This includes identifying the scenario for which you need to design and implement a database system, as well as the specific data needs of the users.
Choose the appropriate data model and schema. Once you understand the requirements, you need to choose the data model and schema that best suits the needs of your database.
Design a database system that is efficient and scalable. Your database system should be able to handle a large amount of data and be able to scale to meet future needs.
Write SQL queries to retrieve and manipulate data in the database. You should be able to write SQL queries to perform a variety of tasks, such as inserting, updating, deleting, and retrieving data.
Test your database system thoroughly. Once you have implemented your database system, you need to test it thoroughly to ensure that it works correctly.

If you need help with the Unit 33 Data Analysis and Design assignment, there are a number of resources available to you. You can access your tutor or lecturer for support, or you can use online resources such as tutorials and forums.

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