Big Data
Big data refers to enormous, fast-growing collections of information that can reveal patterns when analysed by computers.
▶ Interact
Play with the controls to see the idea in action.
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Big data refers to enormous, fast-growing collections of information that can reveal patterns when analysed by computers.
- Volume, velocity and variety
- Used in health and shopping
- Privacy needs to be protected
🧠 Quick quiz
Three questions. Score 2 or more to complete the topic.
What is Big Data?
Within Computer Science, which covers algorithms, programming, data, networks, hardware and safe, responsible use of technology, this topic explains Big Data. Computing topics explain how software, hardware and data work, with diagrams and models that show each step in order.
Check that you can explain Big Data in your own words and give one example from everyday life. If you can do that, you have understood the core idea.
Understanding Big Data helps you design, test and explain programs, websites and systems, from small projects to exam questions.
Big Data in detail
Big data refers to extremely large and complex data sets that are too big for traditional tools. It is often described by the three Vs: volume (huge amounts), velocity (generated quickly) and variety (many forms, such as text, images and sensor data).
Sources include social media, online shopping, sensors and mobile phones. Analysing big data can reveal patterns and trends, helping businesses predict demand, medicine find treatments, cities manage traffic and scientists model climate. Issues include privacy, security, bias, storage and the need for skilled analysts, and it needs ethical use of personal data.
How the interactive helps you understand Big Data
Watch the bar chart in the interactive. Use any sliders or buttons it offers to change the values and see how the bar chart responds.
Before you change anything, predict the result. Then change one value at a time and check whether your prediction was right. This is a quick way to build a correct mental model of Big Data.
Real-life uses and examples
- Recognise Big Data in an app or device you use every day.
- Apply Big Data when you design a small program, website or spreadsheet.
- Explain Big Data to someone new to computing by comparing it to a familiar process.
Common mistakes to avoid
- Using the term without being able to say what the computer actually does.
- Testing only the normal case and forgetting the edge cases.
- Learning the definition without testing it. Use the quiz and the interactive to check that you can apply the idea.
Frequently asked questions about Big Data
What is Big Data?
Big data refers to enormous, fast-growing collections of information that can reveal patterns when analysed by computers.
What are the most important points about Big Data?
The main points are: Volume, velocity and variety; Used in health and shopping; Privacy needs to be protected.
Why is Big Data useful?
Understanding Big Data helps you design, test and explain programs, websites and systems, from small projects to exam questions.
How can I practise Big Data?
Open the interactive at the top of this page and change the controls one at a time. Predict the result before each change, then take the three-question quiz. A score of two or more marks the topic as complete on this device.
Which topics are related to Big Data?
Related topics in Computer Science include Version Control and Collaboration, Cookies and Online Tracking, Input and Output Devices.