4.11: Big Data: revision quiz and key terms
Free practice for 4.11: Big Data in AQA A Level Computer Science (7517). Try the questions, then check the key terms.
Try 5 free questions
Which characteristic of Big Data refers to data arriving at high speed that must be processed quickly?
Functional programming makes it easier to write correct and efficient distributed code.
Why is functional programming well suited to processing Big Data across many machines?
The 'volume' of Big Data refers to the range of different data types it contains.
In a graph schema, what do edges represent?
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Key terms for 4.11: Big Data
- Graph schema
- Captures the structure of a dataset using nodes, edges and properties.
- Immutable data structures
- Cannot be changed once created.
- Nodes
- Typically represent entities within a graph schema.
- Properties
- Store additional data associated with a node or edge in a graph schema.
- Statelessness
- A function's output depends only on its inputs, with no external state.
- Variety
- Big Data can be made up of many different types of data, including unstructured data.
- Velocity
- Streaming data requiring processing within milliseconds to seconds.
- Volume
- The very large amount of data in Big Data, too much to fit on a single server.
What 4.11: Big Data covers
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- 4.11.1 Big Data
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