Big Data

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Last updated 8:36 AM on 5/14/26
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16 Terms

1
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List the three Vs of big data

  • volume

  • velocity

  • variety

2
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Define volume

The amount of data which has to be stored over multiple servers

3
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Define velocity

How quickly the data is created and how fast it moves

4
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Define variety

data is of many different types

5
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How can patterns be found in big data?

using machine learning

6
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Why is functional programming used in big data?

  • stateless - no side effects

  • immutable data structures

  • higher order functions

7
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Define immutable

can’t be overwritten

8
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What is a graph schema

where nodes represent entities containing properties, and edges represent relationships

9
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Why is big data’s lack of structure an issue?

  • analysing data is more difficult

  • relational databases are not appropriate as data must follow row column format

10
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What does big mean in regards to big data and why is it an issue?

data does not fit on one server, which relational databases don’t scale well on

11
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What is the fact based model?

every individual piece of information is stored as a fact with a timestamp that is immutable

12
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What is a graph schema?

a graph of nodes and edges to represent the structure of a dataset

13
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What do nodes represent on a graph schema?

entities and their properties

14
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What do edges represent on a graph schema?

relationships between entities

15
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What is a high order function?

a function which takes a function as an argument and/or returns a function

16
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What does stateless mean?

produces no side effects