X) Functional Programming and Big Data Flashcards

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1
Q

Functional Programming Paradigm

A

A language where each line of code calls a function, which is made up of other functions or result in a value.

  • Statements are written as a series of functions.
  • Each accepts input data as arguments and returns an output.
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2
Q

Declarative Programming Languages

A

A language that declares or specifies what properties a result should have. Example; Functional Programming.

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3
Q

Procedural Programming Languages

A

A language where the programmer specifies the steps that must be carried out in order to achieve a result.

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4
Q

Why Functional Programming Paradigms are used?

A
  • Code is much easier to write.
  • Easier for the programmer to understand.
  • Easier to predict how the program will run.
  • Used for writing programs which take advantage of parallel processing.
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5
Q

A Function type

A

Refers to the way in which an expression is created.

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6
Q

Domain and Co-domain

A

A domain is a set of data of the same type, which are the inputs of the function.
A Co-domain is a set of values from which the outputs of a function must be drawn.

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7
Q

Types and type classes

A

Functional languages such as Haskell use types such as; Integer, FLOAT, Bool & Char.
Typeclasses are sets of types, e.g. Num;
Includes, Integer + Float.

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8
Q

First Class objects

A
A first-class object is any object that can be used as an argument or result of a function call. 
These objects can be assigned to a variable, assigned as an argument and can be returned in a function call.
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9
Q

Statelessness

A

In a procedual program the following statement is able to be executed:
x = 5
x = x + 1
In a functional programming language, the value of a variable cannot change.
Variables are immutable and the program is said to be stateless.

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10
Q

Referential Transparency

A

The only thing a function can do is calculate and return a result, it has no SIDE EFFECTS.
On the other hand, not being able to change the value of an object, results in the function returning the same result.

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11
Q

Function Application

A

The process of giving particular inputs to a function. Example:
add3integers x y z = x + y + z
add3integers :: integer [2] -> (integer [4] ->
( integer [5] -> integer [11] ) )
add3integers 2 4 5
11

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12
Q

What is Big Data?

A

Big data is data that is collected on such a large scale that it cannot be easily analysed.
Large organisations collect and use big data, such as the police, NHS and the government.

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13
Q

Characteristics of big data

A

Volume- the amount of data being collected is on a very large scale.
Variety- the type of data being collected is wide, can be difficult to classify.
Velocity- the data changes quickly and may include constant changes in data sources.

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14
Q

Map and fold operations

A

Map and reduce operations can be efficiently paeallelised, many processors can work simultaneously on parts of a dataset without affecting other parts.

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15
Q

Graph schema

A

Can represent the structure and relationships between data items.

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16
Q

Function Application

A

The process of calculating the result of a function by passing it some data to produce an output.