Big Data Flashcards

1
Q

Which of the three Vs of big data describes that the
data consists of many different types of data?

A

Variety

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2
Q

Define big data

A

A catch-all term for data that won’t fit the
usual containers

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3
Q

How is useful information extracted from big data?

A

By using machine learning techniques to
discern patterns in the data

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4
Q

Which programming paradigm is well suited to
processing big data?

A

Functional programming

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5
Q

List the three Vs of big data

A

Volume

Velocity

Variety

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6
Q

Which property of data structures in functional
programs means that their value doesn’t change
after instantiation?

A

Immutability

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7
Q

Why can’t big data be stored using conventional
databases?

A

Conventional databases require data to
conform to a row and column format

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8
Q

What represents relationships between entities in
graph schema?

A

Arrows

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9
Q

What is the most challenging aspect of big data?

A

The data’s lack of structure

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10
Q

Which property of functional programs means that
they have no side effects?

A

Statelessness

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11
Q

Using the fact-based model, how can a computer
ensure that it uses the most recent available
information?

A

Compare the timestamps of the facts

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12
Q

Which three features of functional programs make it
easier to write correct, efficient, distributed code?

A

Statelessness
Immutability
Support for higher-order functions

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13
Q

What is represented by nodes in graph schema?

A

Entities

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