The ICT330 Database Management Systems SUSS course is designed to give students a comprehensive understanding of the concepts and technologies used in database management systems. The course covers the fundamental topics of databases, including data modeling, design, implementation, and administration.

In addition, the course covers advanced topics such as query processing, transaction management, and distributed databases. In this course, students will learn how to use the industry-standard database management system, Oracle Database. Upon completing this course, students will be able to design, implement, and administer a database management system.

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Assignment Brief 1: Apply database processing concepts to solve the information requirements of organizations.

A database is a collection of data that can be accessed by computers. The data is organized in a way that makes it easy to retrieve, update, and delete. A database can be used to store anything from customer information to inventory levels. Database processing is the process of retrieving, updating, and deleting data from a database. The three main operations of database processing are known as CRUD: create, read, update, and delete.

• To create data in a database, we use the insert operation.
• To read data from a database, we use the select operation.
• To update data in a database, we use the update operation.

To delete data from a database, we use the delete operation. Each of these operations can be performed using SQL, which is a standard language for interacting with databases. By applying these concepts, we can solve the information requirements of organizations.

Assignment Brief 2: Discuss table structures according to normalization principles.

Normalization is the process of organizing data in a database so that it is easy to retrieve, update, and delete. Normalization involves decomposing a table into smaller tables, each of which represents a single entity. For example, if we have a table that stores information about customers and orders, we can decompose this table into two smaller tables: one for customers and one for orders. This process is known as decomposition.

There are three main normalization principles:

1. The first principle is that each table should represent a single entity.
2. The second principle is that each column in a table should represent a single attribute.
3. The third principle is that each row in a table should represent a single record.

By applying these principles, we can improve the performance of our database and make it easier to update and delete data.

Assignment Brief 3: Construct conceptual (ER diagram) and logical models from a statement requirement to solve common design problems.

An Entity Relationship (ER) diagram is a graphical representation of the data in a database. An ER diagram can be used to design a database or to understand the relationships between the tables in an existing database.

The three main components of an ER diagram are entities, attributes, and relationships.

• An entity is any object that can be stored in a database.
• An attribute is a piece of information that can be stored about an entity.
• A relationship is a connection between two or more entities.

To construct an ER diagram, we need to understand the data that will be stored in the database. This data can be represented as a series of entities, attributes, and relationships. Once we have this information, we can create a graphical representation of the data using an ER diagram.

Assignment Brief 4: Explain and apply concurrency controls, security, and recovery measure.

Concurrency control is the process of managing simultaneous access to a database. Concurrency control ensures that multiple users can access the data in a database without interfering with each other.

There are two main types of concurrency control: optimistic concurrency control and pessimistic concurrency control.

• Optimistic concurrency control allows multiple users to access the data at the same time, but it uses a locking mechanism to prevent users from overwriting each other’s changes.
• Pessimistic concurrency control prevents multiple users from accessing the data at the same time by using a locking mechanism.

Security is the process of protecting data from unauthorized access. Security measures can be implemented at different levels, such as the database level, the operating system level, and the network level.

Recovery is the process of restoring data from a backup in the event of a failure. Recovery can be performed using different techniques, such as full backup, incremental backup, and differential backup.

Assignment Brief 5: Formulate SQL statements to implement and query database systems.

SQL is a standard language for storing, retrieving, and manipulating data in a database.

The basic syntax of an SQL statement is as follows:

SELECT column1, column2, …

FROM table_name

WHERE condition

The SELECT statement is used to retrieve data from a database. The columns that you want to retrieve are specified after the SELECT keyword. The FROM keyword is used to specify the table that you want to retrieve data from. The WHERE clause is used to specify a condition that must be met in order for a row to be retrieved.

The INSERT statement is used to insert data into a database. The data that you want to insert is specified after the INSERT INTO keyword. The table that you want to insert data into is specified after the INTO keyword.

The UPDATE statement is used to update data in a database. The data that you want to update is specified after the UPDATE keyword. The table that you want to update data in is specified after the SET keyword. The WHERE clause is used to specify a condition that must be met in order for a row to be updated.

The DELETE statement is used to delete data from a database. The data that you want to delete is specified after the DELETE FROM keyword. The table that you want to delete data from is specified after the FROM keyword. The WHERE clause is used to specify a condition that must be met in order for a row to be deleted.

The CREATE TABLE statement is used to create a new table in a database. The columns that you want to create in the table are specified after the CREATE TABLE keyword. The data type of each column is also specified.

The DROP TABLE statement is used to delete a table from a database. The table that you want to delete is specified after the DROP TABLE keyword.

The ALTER TABLE statement is used to modify an existing table in a database. The modifications that you want to make to the table are specified after the ALTER TABLE keyword.

The TRUNCATE TABLE statement is used to delete all data from a table. The table that you want to delete data from is specified after the TRUNCATE TABLE keyword.

Assignment Brief 6: Implement business rules via views, stored procedures, and triggers.

Views are used to store the result of a query. A view can be created from one or more tables. Views are often used to restrict access to data. For example, a view can be created that only displays certain columns from a table.

Stored procedures are used to store SQL statements. Stored procedures can take input parameters and return output parameters.

Triggers are used to automatically execute SQL statements when an event occurs. For example, a trigger can be created that inserts a row into a log table when a row is inserted into a data table.

Assignment Brief 7: Demonstrate the basic techniques of concurrency control and ACID.

Concurrency control is the process of ensuring that two or more transactions do not conflict with each other. There are two main methods of concurrency control: locking and timestamping.

• Locking is the process of preventing a transaction from accessing data that another transaction is currently using. Locks can be either shared or exclusive.
• Timestamping is the process of assigning a timestamp to each transaction. Transactions are then executed in order of their timestamp.

ACID is a set of properties that ensure that a transaction is processed correctly. The ACID properties are atomicity, consistency, isolation, and durability.

• Atomicity ensures that all of the operations in a transaction are either executed or rolled back.
• Consistency ensures that a transaction leaves the database in a consistent state.
• Isolation ensures that concurrent transactions do not interfere with each other.
• Durability ensures that once a transaction is committed, it will not be lost.

These are the basics of concurrency control and ACID.

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