Databases

All knowledge base resources related to Databases.

This category introduces the principles of data organization, storage, and retrieval using relational databases. Students will explore key concepts including data modeling, normalization, SQL queries, and the use of primary and foreign keys to maintain data integrity. The focus is on designing efficient, reliable, and scalable data systems while understanding their real-world applications in information systems and software development.

A3.1.1 Explain the features, benefits and limitations of a relational database.

A3.2.1 Describe database schemas.

A3.2.2 Construct ERDs.

A3.2.3 Outline the different data types used in relational databases.

A3.2.4 Construct tables for relational databases.

A3.2.5 Explain the difference between normal forms.

A3.2.6 Construct a database normalized to 3NF for a range of real-world scenarios.

A3.2.7 Evaluate the need for denormalizing databases.

A3.3.1 Outline the differences between data language types within SQL.

A3.3.2 Construct queries between two tables in SQL.

A3.3.3 Explain how SQL can be used to update data in a database.

A3.3.4 Construct calculations within a database using SQL’s aggregate functions. (HL only) HL

A3.3.5 Describe different database views. (HL only) HL

A3.3.6 Describe how transactions maintain data integrity in a database. (HL only) HL

A3.4.1 Outline the different types of databases as approaches to storing data. (HL only) HL

A3.4.2 Explain the primary objectives of data warehouses in data management and business intelligence. (HL only) HL

A3.4.3 Explain the role of online analytical processing (OLAP) and data mining for business intelligence. (HL only) HL

A3.4.4 Describe the features of distributed databases. (HL only) HL