Modern organisations generate vast amounts of data every second. In IB Computer Science, this phenomenon is explained through the concept of Big Data. Students are expected to understand what Big Data is, why traditional systems struggle with it, and how it is used in real-world contexts.
IB examiners focus on conceptual understanding, not technical implementation.
What Is Big Data?
Big Data refers to datasets that are too large, complex, or fast-changing to be processed efficiently using traditional database systems.
Big Data is not defined by size alone. It is defined by the challenges it creates for storage, processing, and analysis.
In IB terms, Big Data requires specialised tools and techniques.
The Three Vs of Big Data
Big Data is commonly explained using the three Vs:
Volume
- The amount of data generated
- Measured in terabytes, petabytes, or more
Examples include:
- Social media posts
- Transaction records
- Sensor data
Velocity
- The speed at which data is generated and processed
Examples include:
- Live data streams
- Real-time tracking systems
High velocity means data must be processed quickly to remain useful.
