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Computer Science (First Exam 2027)

A3.4 Alternative databases and data warehouses (HL only)

What Do “Subject-Oriented” and “Time-Variant” Data Mean in a Data Warehouse?

Learn how subject-oriented and time-variant data define an IB Computer Science data warehouse, with clear examples, key distinctions, and exam technique.

A3.4 Alternative databases and data warehouses (HL only)

What Is OLAP (Online Analytical Processing)?

What is OLAP? Learn how multidimensional data cubes and core OLAP operations enable fast data-warehouse analysis for IB Computer Science HL exam success.

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Every question IB students actually ask.

Computer Science (First Exam 2027)

What Do “Subject-Oriented” and “Time-Variant” Data Mean in a Data Warehouse?

What Is OLAP (Online Analytical Processing)?

MYP Subjects

Computer Science (First Exam 2027)

What Do “Subject-Oriented” and “Time-Variant” Data Mean in a Data Warehouse?

What Is OLAP (Online Analytical Processing)?

What Features Do Distributed Databases Need?

What Is Data Mining and What Techniques Does It Use (Classification; Clustering; Regression)?

How Do Distributed Databases Maintain Data Consistency?

What's the Difference Between Supervised, Unsupervised, and Reinforcement Learning?

What Is Deep Learning and Transfer Learning?

What Real-World Applications Use Machine Learning?

What Hardware Is Used for Machine Learning (GPUs; TPUs; FPGAs; ASICs)?

Why Do You Need Specialized Hardware to Train Large Machine Learning Models?

Why Is Data Cleaning Important for Machine Learning?

How Do You Handle Outliers and Missing Data in a Dataset?

What's the Difference Between Normalization and Standardization?

What Is Feature Selection and Why Does It Matter?

What's the Difference Between Filter, Wrapper, and Embedded Feature Selection Methods?

What Is the “Curse of Dimensionality”?

What Is Dimensionality Reduction?

How Does Linear Regression Predict a Continuous Outcome?

What Do the Slope and Intercept Mean in a Regression Equation?

What Is R² and How Does It Measure Model Fit?

How Does K-Nearest Neighbours (K-NN) Classification Work?

How Does a Decision Tree Classify Data?

What Are Accuracy, Precision, Recall, and F1 Score in Machine Learning?

What Is Hyperparameter Tuning?