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Qualification - OTHM Level 5 Diploma in Information Technology
Unit Name - Database Systems
Unit code - H/617/2275
Unit Level - Level 5
Unit Credit - 20
Assignment Title - Database Systems
Learning Outcome 1: Understand basic concepts of database systems.
Answer: Database systems are organized collections of data that enable efficient storage, retrieval, and management of information. At their core, they rely on concepts like tables, which store data in rows (records) and columns (fields), and keys, which uniquely identify records and establish relationships between tables. These relationships are crucial for maintaining data integrity and allowing complex queries across different datasets. Fundamental operations include inserting new data, updating existing information, deleting outdated records, and querying to retrieve specific subsets of data. Database systems also incorporate principles of concurrency control, ensuring multiple users can access and modify data simultaneously without conflicts, and recovery mechanisms to restore data in case of system failures. Furthermore, understanding different database models, such as relational (SQL) and NoSQL, and their respective strengths and weaknesses, is key to selecting the appropriate system for various applications.
Learning Outcome 2: Be able to design and develop a fully functional relational database system to meet a business need.
Answer: Designing and developing a fully functional relational database system involves a systematic approach to meet specific business needs. This begins with a thorough requirements analysis to understand the data to be stored, how it will be used, and by whom. Based on these requirements, you'll create a conceptual data model, often using Entity-Relationship (ER) diagrams, to visualize the entities, their attributes, and the relationships between them. This is then translated into a logical data model, defining tables, columns, primary keys, foreign keys, and data types, while ensuring data integrity through normalization to reduce redundancy. Finally, the physical database design involves implementing this model in a chosen Relational Database Management System (RDBMS) like MySQL, PostgreSQL, or SQL Server. This includes writing Data Definition Language (DDL) scripts to create tables and indexes, and developing Data Manipulation Language (DML) queries for inserting, updating, deleting, and retrieving data. The entire process requires careful consideration of performance, security, and scalability to ensure the database effectively supports the business operations it's designed for.
Learning Outcome 3: Be able to test database systems and produce required documentation.
Answer: Testing a database system is critical to ensure its reliability, functionality, and performance, involving various types of tests. This includes functional testing, which verifies that data manipulation operations (Create, Read, Update, Delete - CRUD) work correctly and that business rules are enforced. Structural testing focuses on the database schema itself, validating table structures, column data types, constraints, indexes, views, and stored procedures. Non-functional testing assesses performance under different loads (load and stress testing), security vulnerabilities (SQL injection, access control), and data integrity (ACID properties: Atomicity, Consistency, Isolation, Durability). Comprehensive documentation is equally vital, encompassing the database schema with table and column descriptions, data types, keys, and constraints; Entity-Relationship Diagrams (ERDs) to visualize relationships; SQL scripts for creation and common procedures; and user guides or developer notes to explain usage and design decisions. This documentation should be clear, accurate, version-controlled, and regularly updated to reflect any changes, ensuring maintainability and ease of understanding for all stakeholders.
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Aim: The aim of this unit is to provide learners with knowledge in database systems development and enable them to develop strong database design and development skills.
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Case Scenario
You have recently been appointed as database designer for EasyTravel Group in London. EasyTravel Group is one of UK's largest travel platforms. EasyTravel leverages their platform and technology capabilities across an extensive portfolio of businesses and brands to orchestrate the movement of people and the delivery of travel experiences on a both local and global scale.
EasyTravel Group's portfolio ticks off everything from beach holidays and city breaks through to lakes and mountains getaways with over 15,000 combinations to choose from. Plus, EasyTravel's flexible flight options, taxi transfers and flights from local airport mean a traveller can design his/her perfect holiday.
You have joined to the new fleet of database designers to manage EasyTravel Group's growing portfolio.
Assessment Task 1
You line manager Laura Buckingham wants to have a clear understanding of your knowledge of database management systems and you need to explain to her the database management systems that you want to utilise for their new brands. You have agreed a date for a meeting and you wish to leave him with a written report covering various aspects of database management systems which includes:
Instructions
a) A description the concept of normalisation in the storage of data.
b) An explanation of different 'Normal forms'.
c) An explanation of data and functional dependencies.
d) A comparison of the ‘hierarchical' and the 'relational' database management system.
e) An explanation of the use of entity relationship diagrams.
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Assessment Task 2
You line manager Laura was happy with your report and decided to give you a task to produce a demo relational database for their new project, EasyTravel Media Solutions where they build innovative digital marketing solutions to engage travellers on their global networks of trusted travel brands. You have to produce a database solution for them to manage huge volume of customer data.
Instructions
a. Using a suitable software, produce a comprehensive design using E-R Modelling for a fully functional system.
b. Using a suitable software, design a ‘Relational Database System' using appropriate design tools and techniques.
c. Design and run queries on the database using demo data provided by the lab instructor.
d. Integrate system security and constraints for a database system.
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Assessment Task 3 Lab demonstration and Lab report
You have successfully created a database system. Now you are called in for a demonstration. In this stage, you will test the database systems live and produce required documentation as asked by the panel.
Instructions
a. Test the system against user and system requirements.
b. Use query tools to produce business reports. A range of query requests will be provided by the lab instructor such as finding sales information, revenue information or total number of users etc.
c. Produce technical and user documentation for a system.
d. Recommend improvements that may be required to ensure the continued effectiveness of the database system.
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Learning Outcomes- The learner will:
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Assessment Criteria- The learner can:
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1. Understand basic concepts of
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1.1
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Describe the concept of normalisation in the storage
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database systems.
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1.2
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of data.
Explain different 'Normal forms'.
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1.3
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Explain data and functional dependencies.
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1.4
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Compare and contrast the 'hierarchical' and the
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'relational' database management system.
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1.5
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Explain the use of entity relationship diagrams.
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2. Be able to design and
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2.1
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Produce a comprehensive design using E-R
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develop a fully functional
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Modelling for a fully functional system.
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relational database system to
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2.2
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Design a 'Relational Database System' using
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meet a business need.
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2.3
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appropriate design tools and techniques.
Design and run queries on the database.
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2.4
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Integrate system security and constraints for a
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database system.
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3. Be able to test database
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3.1
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Test the system against user and system requirements.
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systems and produce
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required documentation.
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3.2
3.3
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Use query tools to produce business reports.
Produce technical and user documentation for a system.
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3.4
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Recommend improvements that may be required to
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ensure the continued effectiveness of the database
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system.
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