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Qualification - OTHM Level 6 Diploma In Information Technology

Unit Name - Advanced Database Management Systems

Unit Code - D/617/3036

Unit Credits - 20

Unit Level - Level 6

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Assignment Title - Advanced Database Management Systems

Learning Outcome 1: Understand different types of database management systems.

Answer: A Database Management System (DBMS) is software that allows users to create, define, and manage databases. They're essential for storing, organizing, and retrieving data efficiently and securely. There are several types of DBMS, each with its own structure and use cases. The most common type is the Relational Database Management System (RDBMS), which stores data in tables with rows and columns. These systems use Structured Query Language (SQL) for data manipulation and are widely used for transactional applications. Another type is the NoSQL database, which is designed for unstructured or semi-structured data and offers greater flexibility and scalability. Examples include key-value stores, document databases, and graph databases. NoSQL databases are ideal for big data applications, real-time web apps, and content management systems where the data model isn't fixed. Finally, there are hierarchical and network databases, which are older models that structure data in a tree-like or interconnected graph format, respectively. They are less common today but laid the groundwork for modern database concepts.

Learning Outcome 2: Be able to apply data analysis and database design techniques.

Answer: Data analysis and database design are critical for creating effective databases. Data analysis involves examining raw data to draw conclusions and identify patterns. This process helps in understanding the information a database needs to store, how it relates to other data, and what queries are likely to be performed. It's the foundation for good database design. Database design is the process of creating a detailed data model for a database. A key technique in this process is normalization, which involves organizing data to minimize redundancy and dependencies. Normalization is achieved by dividing large tables into smaller, more manageable ones and defining relationships between them. The most common forms are 1NF (First Normal Form), 2NF (Second Normal Form), and 3NF (Third Normal Form), each addressing different types of data anomalies. An Entity-Relationship Diagram (ERD) is another crucial tool used in the design phase to visually represent the relationships between different entities (tables) in the database.

Learning Outcome 3: Be able to develop a secured and functional database to meet client and system requirements.

Answer: Developing a secured and functional database requires a focus on both meeting client requirements and protecting the data. Functionality means the database must be able to efficiently store, retrieve, update, and delete data as needed by the application. This involves writing efficient queries, creating appropriate indexes to speed up data retrieval, and ensuring the database schema aligns with the system's logic. Security is paramount and involves implementing measures to protect against unauthorized access, data breaches, and other cyber threats. This can be achieved through several techniques: user authentication, which verifies a user's identity before granting access; authorization, which controls what specific actions a user can perform; encryption of sensitive data both at rest and in transit; and regular backups to ensure data can be recovered in case of a disaster. Additionally, using stored procedures and views can limit direct access to tables, adding another layer of security and helping to prevent SQL injection attacks.

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Aim: The aim of this unit is to develop learners' knowledge and skills of advanced database systems and how these systems are managed within a business or corporate environment. Learners will be able to make informed choices between vendor and open source platforms for database management systems, and design and develop a relational DBMS for a client using an open source platform.

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Case Scenario

You have recently been appointed as database designer for MaxRos Group in London. MaxRos Group is one of UK's largest multi-player gaming platforms. MaxRos leverages their platform and technology capabilities across an extensive portfolio of businesses and brands to orchestrate the movement of people and the delivery of gaming experiences on a global scale. MaxRos Group's portfolio ticks off everything from RPG (Role-playing game) and Real-Time Strategy (RTS) through to Massively Multiplayer Online (MMO) with over 5,000 combinations to choose from.

You have joined as a senior database developer to manage MaxRos Group's growing portfolio.

Task 1 Report

You line manager Emma Wilson wants to have a clear understanding of your knowledge of different types of database management systems. She has asked you to produce a written report which includes:

Instructions

a) Assess how relational database models and normalisation provide reliable and efficient databases.
b) Critically compare a range of Database Modelling languages.
c) Critically evaluate different database management systems available in relation to open source and vendor-specific platforms.
d) Apply data modelling techniques to refine logical data requirements and normalize.
e) Use a standard Unified Modelling Language (UML) notation to document logical data requirements.

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Task 2 Lab demonstration

You line manager Emma was happy with your report and decided to give you a task to produce a demo relational database for their new project, Ultimate Gamers where they build innovative digital gaming solutions to engage online gamers. You have to produce a database solution for them to manage huge volume of gamers data.

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Instructions

a. Using a suitable software, design and build a database structure.
b. Demonstrate extracting data from the tables within your database.
c. Apply table and field-level security to the database.
d. Test the system for functionality and performance.
e. Evaluate security risks to the database.

Learning Outcomes and Assessment Criteria

Learning Outcomes- The learner will:

Assessment Criteria- The learner can:

1. Understand different types of database management systems.

      Assess how relational database models and normalisation provide reliable and efficient databases.

      Critically compare a range of Database Modelling languages.

      Critically evaluate different database management systems available in relation to open source and vendor-specific platforms.

2. Be able to apply data analysis and database design techniques.

      Apply data modelling techniques to refine logical data requirements and normalize.

      Use a standard unified modelling language (UML) notation to document logical data

requirements.

3. Be able to develop a secured and functional database to meet client and system requirements.

          Design and build a database structure.

 

          Extract data from tables.

 

      Apply table and field-level security to the database.

      Test the system for functionality and performance

          Evaluate security risks to the database.

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