Big Data Flashcards

1
Q

What is big data?

A

A collection of all data sources

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2
Q

Why is data collected?

A

So it can be processed and analysed to be used to aid decision making

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3
Q

What does data turn into after being processed?

A

Information

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4
Q

What can information be used for within an organisation (8 things)?

A
decision making
monitoring, controlling, and coordinating
analysing problems
visualising complex problems
optimisation
creating new projects
visibility
traceability
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5
Q

What are the three types of data?

A

discrete quantitative
continuous quantitative
qualitative

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6
Q

What are the five attributes of big data?

A

volume: amount of data
velocity: speed of data generation/change
variety: forms of data
veracity: reliability of data
value: meaningful data

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7
Q

What has led to the growth of data sets?

A

The increase in easily accessible high capacity storage and accessible data

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8
Q

Why is analysing real-time customer data important for businesses?

A

It allows businesses to identify consumer behaviour patterns so they can adapt to them

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9
Q

As a data analysis tool, what is big data useful for?

A

Systematically extracting information, and analysing and making sense of difficult and large data sets

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10
Q

What types of technology can be used to analyse big data?

A

Special technologies are required to organise and analyse big data, including artificial intelligence

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11
Q

What is machine learning?

A

A set of algorithms used to make a system “artificially intelligent”

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12
Q

What benefit does artificial intelligence bring to big data analysis?

A

It enables systems to recognise patterns from large data sets and apply the findings to new data

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13
Q

What is a challenge that comes with big data?

A

Ownership and access rights to collected data

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14
Q

What are the ethical challenges of big data?

A

Customers wanting their data to be kept private and not be shared with companies, but wanting the benefits of companies having insightful knowledge of them

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15
Q

What is a possible solution to the ethical problem of big data?

A

Either anonymising the data, or the creation of legislation, such as the GDPR

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